Computer networking and communications Books

Book SynopsisDESCRIPTION Serverless architecture is about having more time to focus on code, and moving quickly. In these new architectures, traditional back-end servers are replaced with cloud functions acting as discrete singlepurpose services. With serverless compute technologies like AWS Lambda, developers can build entirely serverless platforms at scale. Serverless Architectures on AWS teaches how to build, secure and manage serverless architectures that can power the most demanding web and mobile apps. This book has many ready-made and real-world examples, code snippets, diagrams, and descriptions of architectures that can be readily applied. It describes a traditional application and its back end concerns and then shows how to solve these same problems with a serverless approach. By the end, readers will be able to reason about serverless systems and be able to compose their own systems by applying these ideas and examples. KEY FEATURES • Up-to-date with the most current platform trends • Real-world examples, code snippets, and diagrams• Learn to solve back end concerns with a serverless approach AUDIENCE This book is for all software developers interested in back end technologies. Experience with JavaScript (node.js) and AWS is useful but not required. ABOUT THE TECHNOLOGY Lambda is a compute service that executes code written in JavaScript (node.js), Python, or Java on AWS infrastructure. Source code is deployed to an isolated container that has its own allocation of memory, disk space, and CPU. Serverless architectures herald a new way of building scalable, powerful, cost-effective, and high-performing back end systems. They encourage a new way of creating applications through the use of a stateless compute service to execute code.

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Book SynopsisOperations Anti-Patterns, DevOps Solutions shows how to implement DevOps techniques in the kind of imperfect environments most developers work in. Part technology tutorial, part reference manual, and part psychology handbook, this practical guide shows you realistic ways to bring DevOps to your team when you don’t have the flexibility to make sweeping changes in organizational structure. Focused on process improvements you can make from the bottom up, everything in Operations Anti-Patterns, DevOps Solutions is actionable for your team—from constructing a streamlined workflow system to developing dashboards and operational metrics to measure the right aspects of performance. To better understand the behavior of both individuals and organizations, you’ll also learn the psychological reasoning behind why DevOps techniques are effective. Key Features · Creating a post-mortem framework to analyze projects and incidents · Monitoring and managing team time · Building cultural touchstones that assist with team building · Automating change management · Techniques for adopting automation to power your workflows For team leaders and managers. About the technology By emphasising shared responsibility for delivering software, DevOps transforms the way technology departments work. Looking beyond tool choice and design philosophy, DevOps demands a change in an organization’s attitude and approach. Jeff Smith has been in the technology industry for over 15 years, both as management and individual contributor. He has managed DevOps transformations at Centro, an ad-tech firm, and Grubhub, an online ordering platform.

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Book SynopsisDevelopment in information and communication technologies has led to the advancement of business and enabled enterprises to produce on a global scale. Productivity is a key function in maintaining a competitive advantage in today's market. The internet of things has rapidly become prevalent in the productivity efforts of businesses. Understanding these technologies and how to implement them into current business practices is vital for researchers and practitioners.Internet of Things (IoT) Applications for Enterprise Productivity is a collection of innovative research on the advancing methods productivity efforts of business through the implementation of the internet of things. While highlighting topics including employee motivation, enterprise productivity, and supply chain tracking, this book is ideally designed for manufacturing professionals, industrialists, engineers, managers, practitioners, academicians, and students seeking current research on enterprise production systems and its transformation using internet of things technologies.

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Book SynopsisTactics for getting on the inside track to the very top - from communicating with your boss to making a splash on your first day.Table of ContentsWhat is Smart? Acknowledgements Preface 1 A Short History of Work and Careers Interlude 1: The Way we Work 2 Taking Stock 3 Attributes of a Smart Careerist Interlude 2: The New Language of Work 4 Moving On Interlude 3: The Ten Stages of a Career 5 Roads Less Travelled By 6 Survival and Success in the New Work Economy 7 A Final Word Annotated Bibliography Smart Sources Internet Sites Index

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Book SynopsisThe six volume set of LNCS 12622-12627 constitutes the proceedings of the 15th Asian Conference on Computer Vision, ACCV 2020, held in Kyoto, Japan, in November/ December 2020.*The total of 254 contributions was carefully reviewed and selected from 768 submissions during two rounds of reviewing and improvement. The papers focus on the following topics: Part I: 3D computer vision; segmentation and grouping Part II: low-level vision, image processing; motion and tracking Part III: recognition and detection; optimization, statistical methods, and learning; robot vision Part IV: deep learning for computer vision, generative models for computer vision Part V: face, pose, action, and gesture; video analysis and event recognition; biomedical image analysis Part VI: applications of computer vision; vision for X; datasets and performance analysis *The conference was held virtually.Table of ContentsApplications of Computer Vision, Vision for X.- Query by Strings and Return Ranking Word Regions with Only One Look.- Single-Image Camera Response Function Using Prediction Consistency and Gradual Refinement.- FootNet: An efficient convolutional network for multiview 3D foot reconstruction.- Synthetic-to-real domain adaptation for lane detection.- RAF-AU Database: In-the-Wild Facial Expressions with Subjective Emotion Judgement and Objective AU Annotations.- DoFNet: Depth of Field Difference Learning for Detecting Image Forgery.- Explaining image classifiers by removing input features using generative models.- Do We Need Sound for Sound Source Localization?.- Modular Graph Attention Network for Complex Visual Relational Reasoning.- CloTH-VTON: Clothing Three-dimensional reconstruction for Hybrid image-based Virtual Try-ON.- Multi-label X-ray Imagery Classification via Bottom-up Attention and Meta Fusion.- Learning End-to-End Action Interaction by Paired-Embedding Data Augmentation.- Sketch-to-Art: Synthesizing Stylized Art Images From Sketches.- Road Obstacle Detection Method Based on an Autoencoder with Semantic Segmentation.- SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection.- Trainable Structure Tensors for Autonomous Baggage Threat Detection Under Extreme Occlusion.- Audiovisual Transformer with Instance Attention for Audio-Visual Event Localization.- Watch, read and lookup: learning to spot signs from multiple supervisors.- Domain-transferred Face Augmentation Network.- Pose Correction Algorithm for Relative Frames between Keyframes in SLAM.- Dense-Scale Feature Learning in Person Re-Identification.- Class-incremental Learning with Rectified Feature-Graph Preservation.- Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation.- Towards Robust Fine-grained Recognition by Maximal Separation of Discriminative Features.- Visually Guided Sound Source Separation using Cascaded Opponent Filter Network.- Channel Recurrent Attention Networks for Video Pedestrian Retrieval.- In Defense of LSTMs for Addressing Multiple Instance Learning Problems.- Addressing Class Imbalance in Scene Graph Parsing by Learning to Contrast and Score.- Show, Conceive and Tell: Image Captioning with Prospective Linguistic Information.- Datasets and Performance Analysis.- RGB-T Crowd Counting from Drone: A Benchmark and MMCCN Network.- Webly Supervised Semantic Embeddings for Large Scale Zero-Shot Learning.- Compensating for the Lack of Extra Training Data by Learning Extra Representation.- Class-Wise Difficulty-Balanced Loss for Solving Class-Imbalance.- OpenTraj: Assessing Prediction Complexity in Human Trajectories Datasets.- Pre-training without Natural Images.- TTPLA: An Aerial-Image Dataset for Detection and Segmentation of Transmission Towers and Power Lines.- A Day on Campus - An Anomaly Detection Dataset for Events in a Single Camera.- A Benchmark and Baseline for Language-Driven Image Editing.- Self-supervised Learning of Orc-Bert Augmentator for Recognizing Few-Shot Oracle Characters.- Understanding Motion in Sign Language: A New Structured Translation Dataset.- FreezeNet: Full Performance by Reduced Storage Costs.

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Book SynopsisThe book: PACKET TRACER FOR YOUNG INTERMEDIATE ADMINS is designed for people who want to expand their skills and knowledge in the field of managing LAN and WAN networks.

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Book SynopsisThe book: PACKET TRACER FOR YOUNG ADVANCED ADMINS is a collection of scenarios and network simulations for users who already have at least basic knowledge of computer networks and experience in the work associated with the administration of basic devices, as well as management of network architecture.

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Book SynopsisTake PowerShell beyond simple scripts and build time-saving automations for your team, your users, and the world. In Practical Automation with PowerShell you will learn how to: Build PowerShell functions to automate common and complex tasks Create smart automations that are adaptable to new challenges Structure your code for sharing and reusability Store and secure your automations Execute automations with Azure Automation, Azure Functions, and Jenkins Share your automations with your team and non-technical colleagues Store and retrieve data, credentials, and variables Use source control solutions to maintain and test code changes Provide front-end UI solutions for PowerShell automations Practical Automation in PowerShell reveals how you can use PowerShell to build automation solutions for a huge number of common admin and DevOps tasks. It takes you beyond scripting basics and shows you how to handle the unforeseen complexities that can keep automations from becoming reusable and resilient. You'll discover tools and platforms that let you share your automations with your team and even roll them out to non-technical users through easy-to-understand Sharepoint frontends. about the technology Most repetitive tasks you face as an administrator or DevOps engineer can be automated using PowerShell. Mastering the basics of this powerful language, along with some best practices for saving and sharing your automations, can radically improve the consistency and efficiency of your work. about the book Practical Automation with PowerShell teaches you how to build, organize, and share useful automations with PowerShell. You'll start with development skills you might not have learned as a sysadmin, including techniques to help you structure and manage your code, and common pitfalls to avoid. You'll quickly progress to essential factors for sharable automations, such as securely storing information, connecting to remote machines, and creating automations that can adapt to different use cases. Finally, you'll take your automations out into the world. You'll learn how to share them with your team or end users, and build front ends that allow non-technical people to run them at the touch of a button.Trade Review'The book we needed to improve our work and sleep peacefully!' Leonardo Anastasia 'Not only tells you what to do, but also what not to.' Sander Zegveld 'A really great accessory to general Powershell tutorials.' Alice ChangTable of Contentstable of contents PART 1: GETTING STARTED WITH AUTOMATION READ IN LIVEBOOK 1WHY AUTOMATE WITH POWERSHELL READ IN LIVEBOOK 2GET STARTED AUTOMATING PART 2: WRITING SCRIPTS READ IN LIVEBOOK 3SCHEDULING AUTOMATION SCRIPTS READ IN LIVEBOOK 4HANDLING SENSITIVE DATA READ IN LIVEBOOK 5POWERSHELL REMOTE EXECUTION READ IN LIVEBOOK 6MAKING ADAPTABLE AUTOMATIONS READ IN LIVEBOOK 7WORKING WITH SQL READ IN LIVEBOOK 8CLOUD-BASED AUTOMATION 9 WORKING OUTSIDE OF POWERSHELL 10 AUTOMATION CODING BEST PRACTICES PART 3: MANAGING AUTOMATION SCRIPTS 11 SHARING SCRIPTS AMONG A TEAM 12 SHARING SCRIPTS WITH END-USERS (FRONT-END) 13 WHERE TO STORE YOUR CODE 14 FUTURE-PROOFING YOUR CODE APPENDIXES APPENDIX A: DEVELOPMENT ENVIRONMENT SET UP APPENDIX B: CLOUD ENVIRONMENT SETUP APPENDIX C: HELPER SCRIPTS

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Book SynopsisSteven Carter has more than 25 years of industry experience working in large universities, government research and development laboratories, and private sector companies. He has been a speaker at several industry conferences and written blogs and articles in technical journals. He has spent time as a system administrator running some of the world's largest supercomputers and a network engineer building out the world's first SDN network for the Department of Energy. In addition, Steven has a wide range of experience in networking, including operations, embedded software development, and sales. He has spent the past 5 years working for Red Hat Ansible and Cisco Systems consulting and coding for many of the world's largest organizations as they modernize and secure their operations by incorporating DevOps. He currently works as a principal DevOps engineer for Cisco Systems creating CI/CD pipelines for deploying cloud applications and network infrastructure in secure anTable of ContentsChapter 1: A Lightbulb Goes Off Enterprise IT as a Source of Risk to the Business Observations of a Train WreckDevOps Seems Like a Better Way What Is DevOps? Automation Infrastructure as Code CI/CD Apps vs. Infrastructure Harnessing Automation-at-ScaleWhy Are Enterprise IT Departments Not Adopting DevOps? Human Factors Business FactorsSummaryChapter 2: A Better Way The Goal: Business Transformation Constraints-Based IT Business Transformation DevOps in ActionWhy Model-Driven DevOps? Network Infrastructure Is Different What Is Model-Driven DevOps? What Is a Data Model? Source of Truth DevOps as a FrameworkDevSecOps: Baked-In SecuritySummaryChapter 3: Consumable Infrastructure APIs Why API over CLI?Platforms Physical Hardware Provisioning Consolidated Control Point Northbound vs. Southbound APIs API and Feature Normalization Fabricwide Services ScalabilitySummaryChapter 4: Infrastructure as Code Why Infrastructure as Code?Source of Truth Data Models Common IaC Tools Organization Types of Source of TruthCode Data FlowSummaryChapter 5: Continuous Integration/Continuous Deployment CI/CD Overview Applications vs. Infrastructure CI/CD in ActionSource Code Management Core Features Collaboration Features SCM SummaryContinuous Integration Tools CI Engines How They Work Sample WorkflowInfrastructure Simulation Tools Cisco Modeling LabsTest and Validation Linting Schema/Model Validation Functional Testing Test and Validation SummaryContinuous DeploymentContinuous MonitoringSummaryChapter 6: Implementation Model-Driven DevOps Reference ImplementationThe GoalDevOps RoadmapArchitecture Network as an Application ConsistencySimulationAutomation Creating a Source of Truth Moving Data MDD Source of Truth Automation Tooling MDD Data Automation Runner Cisco Network Services OrchestratorTesting Linting Snapshotting the Test Network Data Validation and State Checking Data Validation Pushing Data to the Devices State Checking Restore Continuous Integration Workflow SummaryDeployment Scale Starting WorkflowsSummaryChapter 7: Human Factors Culture and the Need for ChangeStart with the WhyOrganization Leadership Role Models Building a Team Break Down the Silos Community New Tools Summary of Organization-Level ChangesIndividual Programming vs. Automation Version Control Tools Data Formats APIs Templating Linux/UNIX Wait! Where Do I Fit In?Summary9780137644674 TOC 6/23/2022

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Book SynopsisArun Paul serves as a technical solutions architect at Cisco Meraki, focusing on supporting public sector SLED customers in the Midwest states. With more than a decade of experience in the technology industry, Arun has held diverse roles ranging from engineering to technical sales. Arun's tech journey began as a software engineer at the Cisco Catalyst 6500 BU, where he played a pivotal role as a point of contact for Catalyst design recommendations and escalations. Arun showcased his innovative spirit by proposing Cisco innovation ideas and process improvements. Beyond corporate roles, Arun co-founded a security consulting and training business, gaining valuable entrepreneurial experience. This venture provided insights into customer challenges in the modern technology landscape. Arun holds an MS in Information Security from George Mason University, graduating with a Distinguished Achievement Award. Arun has consistently demonstrated dedication

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Book SynopsisServerless Architectures on AWS, Second Edition teaches you how to design, secure, and manage serverless backend APIs for web and mobile applications on the AWS platform. You'll get going quickly with this book's relevant real-world examples, code listings, diagrams, and clearly-described architectures that you can readily apply to your own work. You’ll master serverless systems using AWS Lambda and the myriad other services on the AWS platform. This new edition has been fully updated to reflect the newest serverless design best practices and changes to AWS. It features two entirely new chapters dedicated to DevOps, monitoring, and microservices, as well as working with DynamoDB, GraphQL and Kinesis. Key Features · First steps with serverless computing · The principles of serverless design · Transitioning from servers to services · Writing AWS Lambda functions and using the API Gateway Audience This book is for server-side and full-stack software developers with some experience using Node.js and AWS. Author Bio Peter Sbarski is VP of Engineering at A Cloud Guru and the head organizer of Serverlessconf, the world’s first conference dedicated entirely to serverless architectures and technologies. Throughout his extensive IT career, Peter has led teams across large enterprise solutions with a focus on web and AWS cloud technologies.

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Book SynopsisThomas Erl is a best-selling IT author and series editor of the Pearson Digital Enterprise Series from Thomas Erl. Thomas has authored and co-authored 15 books published by Pearson Education and Prentice Hall dedicated to contemporary business technology and practices. You can find Thomas on the Thomas Erl YouTube channel (youtube.com/@terl). He is also the host of the Real Digital Transformation podcast series (available via Spotify, Apple, Google Podcasts, and most other platforms) and also publishes the weekly LinkedIn newsletter The Digital Enterprise. Over 100 articles and interviews by Thomas have been published in numerous publications, including CEO World, The Wall Street Journal, Forbes, and CIO Magazine. Thomas has also toured over 20 countries as a keynote speaker for various conferences and events. At Arcitura Education (www.arcitura.com), Thomas leads the development of curricula for internatiTable of ContentsForeword About the Authors Acknowledgments Chapter 1: Introduction 1.1 Objectives of This Book 1.2 What This Book Does Not Cover 1.3 Who This Book Is For 1.4 How This Book Is Organized Part I: Fundamental Cloud Computing Chapter 3: Understanding Cloud Computing Chapter 4: Fundamental Concepts and Models Chapter 5: Cloud-Enabling Technology Chapter 6: Understanding Containerization Chapter 7: Understanding Cloud Security and Cybersecurity Part II: Cloud Computing Mechanisms Chapter 8: Cloud Infrastructure Mechanisms Chapter 9: Specialized Cloud Mechanisms Chapter 10: Cloud Security and Cybersecurity Access-Oriented Mechanisms Chapter 11: Cloud Security and Cybersecurity Data-Oriented Mechanisms Chapter 12: Cloud Management Mechanisms Part III: Cloud Computing Architecture Chapter 13: Fundamental Cloud Architectures Chapter 14: Advanced Cloud Architectures Chapter 15: Specialized Cloud Architectures Part IV: Working with Clouds Chapter 16: Cloud Delivery Model Considerations Chapter 17: Cost Metrics and Pricing Models Chapter 18: Service Quality Metrics and SLAs Part V: Appendices Appendix A: Case Study Conclusions Appendix B: Common Containerization Technologies 1.5 Resources Pearson Digital Enterprise Book Series Thomas Erl on YouTube The Digital Enterprise Newsletter on LinkedIn Cloud Certified Professional (CCP) ProgramChapter 2: Case Study Background 2.1 Case Study #1: ATN Technical Infrastructure and Environment Business Goals and New Strategy Roadmap and Implementation Strategy 2.2 Case Study #2: DTGOV Technical Infrastructure and Environment Business Goals and New Strategy Roadmap and Implementation Strategy 2.3 Case Study #3: Innovartus Technologies Inc. Technical Infrastructure and Environment Business Goals and Strategy Roadmap and Implementation Strategy PART I: FUNDAMENTAL CLOUD COMPUTINGChapter 3: Understanding Cloud Computing 3.1 Origins and Influences A Brief History Definitions Business Drivers Cost Reduction Business Agility Technology Innovations Clustering Grid Computing Capacity Planning Virtualization Containerization Serverless Environments 3.2 Basic Concepts and Terminology Cloud Container IT Resource On Premises Cloud Consumers and Cloud Providers Scaling Horizontal Scaling Vertical Scaling Cloud Service Cloud Service Consumer 3.3 Goals and Benefits Increased Responsiveness Reduced Investments and Proportional Costs Increased Scalability Increased Availability and Reliability 3.4 Risks and Challenges Increased Vulnerability Due to Overlapping Trust Boundaries Increased Vulnerability Due to Shared Security Responsibility Increased Exposure to Cyber Threats Reduced Operational Governance Control Limited Portability Between Cloud Providers Multiregional Compliance and Legal Issues Cost Overruns Chapter 4: Fundamental Concepts and Models 4.1 Roles and Boundaries Cloud Provider Cloud Consumer Cloud Broker Cloud Service Owner Cloud Resource Administrator Additional Roles Organizational Boundary Trust Boundary 4.2 Cloud Characteristics On-Demand Usage Ubiquitous Access Multitenancy (and Resource Pooling) Elasticity Measured Usage Resiliency 4.3 Cloud Delivery Models Infrastructure as a Service (IaaS) Platform as a Service (PaaS) Software as a Service (SaaS) Comparing Cloud Delivery Models Combining Cloud Delivery Models IaaS + PaaS IaaS + PaaS + SaaS Cloud Delivery Submodels 4.4 Cloud Deployment Models Public Clouds Private Clouds Multiclouds Hybrid Clouds Chapter 5: Cloud-Enabling Technology 5.1 Networks and Internet Architecture Internet Service Providers (ISPs) Connectionless Packet Switching (Datagram Networks) Router-Based Interconnectivity Physical Network Transport Layer Protocol Application Layer Protocol Technical and Business Considerations Connectivity Issues Network Bandwidth and Latency Issues Wireless and Cellular Cloud Carrier and Cloud Provider Selection 5.2 Cloud Data Center Technology Virtualization Standardization and Modularity Autonomic Computing Remote Operation and Management High Availability Security-Aware Design, Operation, and Management Facilities Computing Hardware Storage Hardware Network Hardware Carrier and External Networks Interconnection Web-Tier Load Balancing and Acceleration LAN Fabric SAN Fabric NAS Gateways Serverless Environments NoSQL Clustering Other Considerations 5.3 Modern Virtualization Hardware Independence Server Consolidation Resource Replication Operating System–Based Virtualization Hardware-Based Virtualization Containers and Application-Based Virtualization Virtualization Management Other Considerations 5.4 Multitenant Technology 5.5 Service Technology and Service APIs REST Services Web Services Service Agents Service Middleware Web-Based RPC 5.6 Case Study Example Chapter 6: Understanding Containerization 6.1 Origins and Influences A Brief History Containerization and Cloud Computing 6.2 Fundamental Virtualization and Containerization Operating System Basics Virtualization Basics Physical Servers Virtual Servers Hypervisors Virtualization Types Containerization Basics Containers Container Images Container Engines Pods Hosts Host Clusters Host Networks and Overlay Networks Virtualization and Containerization Containerization on Physical Servers Containerization on Virtual Servers Containerization Benefits Containerization Risks and Challenges 6.3 Understanding Containers Container Hosting Containers and Pods Container Instances and Clusters Container Package Management Container Orchestration Container Package Manager vs. Container Orchestrator Container Networks Container Network Scope Container Network Addresses Rich Containers Other Common Container Characteristics 6.4 Understanding Container Images Container Image Types and Roles Container Image Immutability Container Image Abstraction Operating System Kernel Abstraction Operating System Abstraction Beyond the Kernel Container Build Files Container Image Layers How Customized Container Images Are Created 6.5 Multi-Container Types Sidecar Container Adapter Container Ambassador Container Using Multi-Containers Together 6.6 Case Study Example Chapter 7: Understanding Cloud Security and Cybersecurity 7.1 Basic Security Terminology Confidentiality Integrity Availability Authenticity Security Controls Security Mechanisms Security Policies 7.2 Basic Threat Terminology Risk Vulnerability Exploit Zero-Day Vulnerability Security Breach Data Breach Data Leak Threat (or Cyber Threat) Attack (or Cyber Attack) Attacker and Intruder Attack Vector and Surface 7.3 Threat Agents Anonymous Attacker Malicious Service Agent Trusted Attacker Malicious Insider 7.4 Common Threats Traffic Eavesdropping Malicious Intermediary Denial of Service Insufficient Authorization Virtualization Attack Overlapping Trust Boundaries Containerization Attack Malware Insider Threat Social Engineering and Phishing Botnet Privilege Escalation Brute Force Remote Code Execution SQL Injection Tunneling Advanced Persistent Threat (APT) 7.5 Case Study Example 7.6 Additional Considerations Flawed Implementations Security Policy Disparity Contracts Risk Management 7.7 Case Study Example PART II: CLOUD COMPUTING MECHANISMS Chapter 8: Cloud Infrastructure Mechanisms 8.1 Logical Network Perimeter Case Study Example 8.2 Virtual Server Case Study Example 8.3 Hypervisor Case Study Example 8.4 Cloud Storage Device Cloud Storage Levels Network Storage Interfaces Object Storage Interfaces Database Storage Interfaces Relational Data Storage Non-Relational Data Storage Case Study Example 8.5 Cloud Usage Monitor Monitoring Agent Resource Agent Polling Agent Case Study Example 8.6 Resource Replication Case Study Example 8.7 Ready-Made Environment Case Study Example 8.8 Container Chapter 9: Specialized Cloud Mechanisms 9.1 Automated Scaling Listener Case Study Example 9.2 Load Balancer Case Study Example 9.3 SLA Monitor Case Study Example SLA Monitor Polling Agent SLA Monitoring Agent 9.4 Pay-Per-Use Monitor Case Study Example 9.5 Audit Monitor Case Study Example 9.6 Failover System Active–Active Active–Passive Case Study Example 9.7 Resource Cluster Case Study Example 9.8 Multi-Device Broker Case Study Example 9.9 State Management Database Case Study ExampleChapter 10: Cloud Security and Cybersecurity Access-Oriented Mechanisms 10.1 Encryption Symmetric Encryption Asymmetric Encryption Case Study Example 10.2 Hashing Case Study Example 10.3 Digital Signature Case Study Example 10.4 Cloud-Based Security Groups Case Study Example 10.5 Public Key Infrastructure (PKI) System Case Study Example 10.6 Single Sign-On (SSO) System Case Study Example 10.7 Hardened Virtual Server Image Case Study Example 10.8 Firewall Case Study Example 10.9 Virtual Private Network (VPN) Case Study Example 10.10 Biometric Scanner Case Study Example 10.11 Multi-Factor Authentication (MFA) System Case Study Example 10.12 Identity and Access Management (IAM) System Case Study Example 10.13 Intrusion Detection System (IDS) Case Study Example 10.14 Penetration Testing Tool Case Study Example 10.15 User Behavior Analytics (UBA) System Case Study Example 10.16 Third-Party Software Update Utility Case Study Example 10.17 Network Intrusion Monitor Case Study Example 10.18 Authentication Log Monitor Case Study Example 10.19 VPN Monitor Case Study Example 10.20 Additional Cloud Security Access-Oriented Practices and Technologies Chapter 11: Cloud Security and Cybersecurity Data-Oriented Mechanisms 11.1 Digital Virus Scanning and Decryption System Generic Decryption Digital Immune System Case Study Example 11.2 Malicious Code Analysis System Case Study Example 11.3 Data Loss Prevention (DLP) System Case Study Example 11.4 Trusted Platform Module (TPM) Case Study Example 11.5 Data Backup and Recovery System Case Study Example 11.6 Activity Log Monitor Case Study Example 11.7 Traffic Monitor Case Study Example 11.8 Data Loss Protection Monitor Case Study Example Chapter 12: Cloud Management Mechanisms 12.1 Remote Administration System Case Study Example 12.2 Resource Management System Case Study Example 12.3 SLA Management System Case Study Example 12.4 Billing Management System Case Study Example PART III: CLOUD COMPUTING ARCHITECTURE Chapter 13: Fundamental Cloud Architectures 13.1 Workload Distribution Architecture 13.2 Resource Pooling Architecture 13.3 Dynamic Scalability Architecture 13.4 Elastic Resource Capacity Architecture 13.5 Service Load Balancing Architecture 13.6 Cloud Bursting Architecture 13.7 Elastic Disk Provisioning Architecture 13.8 Redundant Storage Architecture 13.9 Multicloud Architecture 13.10 Case Study ExampleChapter 14: Advanced Cloud Architectures 14.1 Hypervisor Clustering Architecture 14.2 Virtual Server Clustering Architecture 14.3 Load-Balanced Virtual Server Instances Architecture 14.4 Nondisruptive Service Relocation Architecture 14.5 Zero Downtime Architecture 14.6 Cloud Balancing Architecture 14.7 Resilient Disaster Recovery Architecture 14.8 Distributed Data Sovereignty Architecture 14.9 Resource Reservation Architecture 14.10 Dynamic Failure Detection and Recovery Architecture 14.11 Rapid Provisioning Architecture 14.12 Storage Workload Management Architecture 14.13 Virtual Private Cloud Architecture 14.14 Case Study ExampleChapter 15: Specialized Cloud Architectures 15.1 Direct I/O Access Architecture 15.2 Direct LUN Access Architecture 15.3 Dynamic Data Normalization Architecture 15.4 Elastic Network Capacity Architecture 15.5 Cross-Storage Device Vertical Tiering Architecture 15.6 Intra-Storage Device Vertical Data Tiering Architecture 15.7 Load-Balanced Virtual Switches Architecture 15.8 Multipath Resource Access Architecture 15.9 Persistent Virtual Network Configuration Architecture 15.10 Redundant Physical Connection for Virtual Servers Architecture 15.11 Storage Maintenance Window Architecture 15.12 Edge Computing Architecture 15.13 Fog Computing Architecture 15.14 Virtual Data Abstraction Architecture 15.15 Metacloud Architecture 15.16 Federated Cloud Application Architecture PART IV: WORKING WITH CLOUDS Chapter 16: Cloud Delivery Model Considerations 16.1 Cloud Delivery Models: The Cloud Provider Perspective Building IaaS Environments Data Centers Scalability and Reliability Monitoring Security Equipping PaaS Environments Scalability and Reliability Monitoring Security Optimizing SaaS Environments Security 16.2 Cloud Delivery Models: The Cloud Consumer Perspective Working with IaaS Environments IT Resource Provisioning Considerations Working with PaaS Environments IT Resource Provisioning Considerations Working with SaaS Services 16.3 Case Study Example Chapter 17: Cost Metrics and Pricing Models 17.1 Business Cost Metrics Up-Front and Ongoing Costs Additional Costs Case Study Example Product Catalog Browser On-Premises Up-Front Costs On-Premises Ongoing Costs Cloud-Based Up-Front Costs Cloud-Based Ongoing Costs 17.2 Cloud Usage Cost Metrics Network Usage Inbound Network Usage Metric Outbound Network Usage Metric Intra-Cloud WAN Usage Metric Server Usage On-Demand Virtual Machine Instance Allocation Metric Reserved Virtual Machine Instance Allocation Metric Cloud Storage Device Usage On-Demand Storage Space Allocation Metric I/O Data Transferred Metric Cloud Service Usage Application Subscription Duration Metric Number of Nominated Users Metric Number of Transactions Users Metric 17.3 Cost Management Considerations Pricing Models Multicloud Cost Management Additional Considerations Case Study Example Virtual Server On-Demand Instance Allocation Virtual Server Reserved Instance Allocation Cloud Storage Device WAN Traffic Chapter 18: Service Quality Metrics and SLAs 18.1 Service Quality Metrics Service Availability Metrics Availability Rate Metric Outage Duration Metric Service Reliability Metrics Mean Time Between Failures (MTBF) Metric Reliability Rate Metric Service Performance Metrics Network Capacity Metric Storage Device Capacity Metric Server Capacity Metric Web Application Capacity Metric Instance Starting Time Metric Response Time Metric Completion Time Metric Service Scalability Metrics Storage Scalability (Horizontal) Metric Server Scalability (Horizontal) Metric Server Scalability (Vertical) Metric Service Resiliency Metrics Mean Time to Switchover (MTSO) Metric Mean Time to System Recovery (MTSR) Metric 18.2 Case Study Example 18.3 SLA Guidelines 18.4 Case Study Example Scope and Applicability Service Quality Guarantees Definitions Usage of Financial Credits SLA Exclusions PART V: APPENDICES Appendix A: Case Study Conclusions A.1 ATN A.2 DTGOV A.3 Innovartus Appendix B: Common Containerization Technologies B.1 Docker Docker Server Docker Client Docker Registry Docker Objects Docker Swarm (Container Orchestrator) B.2 Kubernetes Kubernetes Node (Host) Kubernetes Pod Kubelet Kube-Proxy Container Runtime (Container Engine) Cluster Kubernetes Control Plane 9780138052256 TOC 7/17/2023

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Book SynopsisSomit Maloo, CCIE No. 28603, CCDE No. 20170002, is a content architect from the data center team at Learning@Cisco. He holds a master's degree in telecommunication networks and a bachelor's degree in electronics and telecommunication engineering. He is also a penta-CCIE in enterprise infrastructure, service provider, enterprise wireless, security, and data center technologies. Somit holds various industry-leading certifications, including CCDE, PMP, RHCSA, and VMware VCIX6 in Data Center and Network Virtualization. Somit has extensive experience in designing and developing various data center courses for the official Cisco curriculum. He started his career as a Cisco TAC engineer. Somit has more than 12 years of experience in the networking industry, working mostly with data center networks. You can reach Somit on Twitter: @somitmaloo.   Iskren Nikolov, CCIE No.20164, CCSI No.32481, MCT Alumni, Content architect, engineer, and devTable of Contents Introduction xxiv Part I Networking Chapter 1 Data Center Architectures 1 Data Center Basics 1 Cisco Unified Data Center Platform 4 Data Center Network Infrastructure 6 Data Center Storage Infrastructure 10 Data Center Computing Infrastructure 12 Summary 19 References 20 Chapter 2 Describing the Cisco Nexus Family and Cisco NX-OS Software 21 Cisco Nexus Data Center Product Overview 21 Cisco FEX Overview 35 Cisco NX-OS Software Architecture 44 Exploring Cisco NX-OS CLI 48 Summary 61 References 62 Chapter 3 Describing Layer 3 First-Hop Redundancy 65 Default Gateway Redundancy 65 Hot Standby Router Protocol 68 Virtual Router Redundancy Protocol 78 Gateway Load Balancing Protocol 82 Summary 86 References 86 Chapter 4 Port Channels and vPCs 87 Ethernet Port Channels 88 Virtual Port Channels 93 Summary 124 References 125 Chapter 5 Switch Virtualization 127 Cisco Nexus Switch Functional Planes 127 Cisco Nexus Switch Process Separation and Restartability 132 Virtual Routing and Forwarding (VRF) 134 Cisco Nexus 7000 VDCs 144 Summary 177 References 177 Chapter 6 Nexus Switch Routing 179 Routing Fundamentals 179 RIPv2 on NX-OS 190 EIGRP on NX-OS 198 OSPFv2 on NX-OS 210 Multicast Fundamentals 227 Multicast Configuration on NX-OS 240 Summary 254 References 255 Chapter 7 Network Virtualization 257 Overlay Network Protocols 257 Network Interface Virtualization Using FEX 286 VMware vSphere Virtual Switches 287 Summary 291 References 292 Contents xv Chapter 8 Describing Cisco ACI 295 Cisco ACI Overview 295 Cisco ACI Building Blocks 299 Cisco ACI Deployment Models 303 Cisco ACI Hardware 307 ACI Startup Discovery 313 Cisco ACI Policy Model 314 Packet Forwarding within the ACI Fabric 327 Summary 328 References 330 Chapter 9 Operating Cisco ACI 333 Cisco ACI External Connectivity Options 333 Cisco ACI and VMM Integration 339 Cisco ACI and L4–L7 Integration 342 Cisco ACI Management and Automation 343 Cisco ACI Anywhere 352 Cisco Nexus Dashboard 356 Summary 358 References 359 Part II Storage Chapter 10 Data Center Storage Concepts 361 Storage Connectivity Options in the Data Center 361 Fibre Channel Storage Networking 376 Internet Small Computer System Interface (iSCSI) 383 NVM Express and NVM Express over Fabrics 385 Cisco MDS Product Overview 389 Summary 401 Reference 402 Chapter 11 Fibre Channel Protocol Fundamentals 403 Fibre Channel Layered Model 403 Building the Switched Fabric 412 Fibre Channel Flow Control 419 Fabric Shortest Path First 421 Summary 423 Reference 424 Chapter 12 Describing VSANs and Fibre Channel Zoning 425 VSAN Overview 425 VSAN Configuration 430 Fibre Channel Zoning 439 Zoning Configuration 441 Zoning Management 448 Summary 451 Reference 453 Chapter 13 Storage Virtualization 455 Cisco Fibre Channel NPIV Feature 456 Cisco Fibre Channel NPV Mode 460 Summary 469 Reference 470 Chapter 14 Describing Data Center Ethernet Enhancements 471 IEEE Data Center Bridging 472 Priority Flow Control 472 Enhanced Transmission Selection 475 DCBX Protocol 476 Summary 478 References 478 Chapter 15 Describing FCoE 479 Cisco Unified Fabric 479 FCoE Architecture 482 FCoE Initialization Protocol 488 FCoE Configuration 490 Summary 495 References 496 Part III Compute Chapter 16 Describing Cisco UCS Components 497 Cisco UCS Components 497 Cisco UCS Fabric Interconnect Product Overview 503 Cisco UCS Blade Chassis 506 Cisco IOM Product Overview 509 Cisco UCS B-Series Servers 510 Cisco UCS C-Series Servers and the Cisco IMC Supervisor 514 Cisco UCS S-Series Storage Server 521 Cisco HyperFlex Data Platform 524 Cisco UCS X-Series Modular System 527 Summary 529 References 530 Chapter 17 Describing Cisco UCS Abstraction 531 Cisco UCS Manager Overview 532 Exploring the Cisco UCS Server Environment 543 Identity and Resource Pools for Hardware Abstraction 548 Service Profiles and Service Profile Templates 552 Cisco UCS Polices for Use in Service Profiles 555 Cisco UCS Service Profile Configuration 556 Cisco UCS Central Overview 564 Summary 566 References 568 Chapter 18 Server Virtualization 569 Virtual Machine 569 Hypervisor 574 Virtual Switch 575 VMware vSphere 576 VMware ESXi Installation 582 VMware vCenter Installation 592 Summary 611 References 612 Part IV Automation Chapter 19 Using APIs 613 Common Programmability Protocols and Methods 613 Configuring Cisco NX-OS with APIs 624 Exploring the Cisco UCS Manager XML API Management Information Tree 626 Summary 629 Reference 629 Chapter 20 Automating the Data Center 631 Automation Basics 631 Automation and Orchestration Technologies 634 Choosing the Automation Toolset 642 Summary 643 Reference 644 Part V Cloud Chapter 21 Cloud Computing 645 Cloud Computing Overview 645 Cloud Computing Services 653 Cloud Deployment Models 660 Cisco Intersight 666 Summary 669 References 671 9780137638246, TOC, 8/29/2022

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Book SynopsisSomit Maloo, CCIE No. 28603, CCDE No. 20170002, is a content architect from the data center team in the Learning & Certifications' organization. He holds a master's degree in telecommunication networks and a bachelor's degree in electronics and telecommunication engineering. He is also a penta CCIE in routing and switching, service provider, wireless, security, and data center technologies. Somit holds various industry-leading certifications, including CCDE, PMP, RHCSA, and VMware VCIX6 in Data Center and Network Virtualization. Somit has extensive experience in designing and developing various data center courses for the official Cisco curriculum. He started his career as a Cisco TAC engineer. Somit has more than 13 years of experience in the networking industry, working mostly with data center networks. You can reach Somit on Twitter: @somitmaloo. Iskren Nikolov, CCIE No. 20164, CCSI No. 32481, MCT Alumni, content architect, engineer, and dTable of ContentsIntroduction xxxv Part I Networking Chapter 1 Implementing Routing in the Data Center 2 “Do I Know This Already?” Quiz 2 Foundation Topics 5 Routing Protocols Support on Cisco Nexus Devices 5 OSPF 6 OSPF Link-State Advertisements 7 OSPF Authentication 13 OSPF Configurations and Verifications 13 Border Gateway Protocol 24 BGP Peering 25 BGP Path Selection 26 Multiprotocol BGP 29 BGP Configurations and Verifications 30 Bidirectional Forwarding Detection 37 Rapid Detection of Failures 38 BFD Configurations and Verifications 38 Multicast 42 Internet Group Management Protocol 43 Switch IGMP Snooping 46 Multicast Listener Discovery 46 Multicast Distribution Trees 47 Protocol Independent Multicast 49 Multicast Forwarding 55 Multicast Configurations and Verifications 56 Hot Standby Router Protocol 69 Virtual Router Redundancy Protocol 73 VRRP Operation 73 VRRP Groups 75 VRRP Router Priority and Preemption 76 VRRP Authentication 77 VRRP Tracking 77 IPv6 First Hop Redundancy 77 HSRP/VRRP Configurations and Verifications 79 Exam Preparation Tasks 87 Chapter 2 Implementing Data Center Switching Protocols 90 “Do I Know This Already?” Quiz 90 Foundation Topics 93 Spanning Tree Protocols 93 STP Topology 93 STP Port Types 94 STP Extensions 94 Unidirectional Link Detection 97 Rapid PVST+ 98 Spanning Tree Configurations and Verifications 102 Port Channels 117 Port Channel Load Balance 120 Virtual Port Channel 122 vPC Traffic Flows 125 vPC Dual-Control Plane 126 vPC Primary and Secondary Roles 127 vPC Configuration Consistency 128 vPC Duplicate Frames Prevention Mechanism 129 vPC HSRP Gateway Considerations 131 vPC ARP Synchronization 131 vPC Peer Gateway 131 Port Channel Configurations and Verifications 132 Exam Preparation Tasks 146 Chapter 3 Implementing Data Center Overlay Protocols 150 “Do I Know This Already?” Quiz 150 Foundation Topics 151 Virtual Extensible LAN (VXLAN) Overview 151 VXLAN Encapsulation and Packet Format 152 VXLAN Tunnel Endpoint 152 Virtual Network Identifier 153 VXLAN Control Plane 154 VXLAN Gateways 157 VXLAN High Availability 157 VXLAN Tenant Routed Multicast 159 VXLAN Configurations and Verifications 159 Exam Preparation Tasks 169 Chapter 4 Describe Cisco Application Centric Infrastructure 172 “Do I Know This Already?” Quiz 172 Foundation Topics 174 Cisco Application Centric Infrastructure (ACI) Overview 174 Cisco Application Policy Infrastructure Controller 176 Cisco Nexus 9000 Series Spine and Leaf Switches for Cisco ACI 179 Cisco ACI Initial Setup, Fabric Discovery, Fabric Upgrade, and Fabric Access Policies 182 Cisco ACI Initial Setup 182 Cisco ACI Fabric Discovery 187 Startup with Cisco ACI Fabric Discovery and Configuration 188 Fabric Upgrade 189 Cisco ACI Fabric Access Policies 190 Cisco ACI Fabric Building Blocks, Policy Model, and VMM Domains 195 ACI Policy Model 197 Cisco ACI Tenants 198 Taboo Contracts 209 vzAny Rule 210 Filters and Subjects 213 Management Tenant 213 In-Band Management Access 214 ACI VXLAN 215 ACI Intersubnet Tenant Traffic 217 Policy Identification and Enforcement 218 ACI Fabric Traffic Storm Control 219 ACI Fabric Traffic Load Balance 219 ACI Fabric Loop Detection 220 ACI Design Best Practices 221 ACI LAB Configurations Example 221 Building ACI Fabric 224 Creating Tenant 227 Creating Contract and Filter 230 Deploying a Three-Tier Application 233 Integrating with vCenter 235 Exam Preparation Tasks 238 Chapter 5 Cisco Cloud Services and Deployment Models 240 “Do I Know This Already?” Quiz 240 Foundation Topics 242 What Is Cloud Computing? 242 Cloud Service Models 245 Software as a Service 245 Platform as a Service 246 Infrastructure as a Service 246 Cloud Deployment Models 248 Private Cloud 248 Public Cloud 248 Hybrid Cloud 249 Community Cloud 250 Exam Preparation Tasks 250 Chapter 6 Data Center Network Management and Monitoring 252 “Do I Know This Already?” Quiz 252 Foundation Topics 254 Cisco Nexus NX-OS Software Installation, Updates, and Their Impacts 254 PowerOn Auto Provisioning (POAP) 259 Data Center Infrastructure Software Lifecycle Management 263 Nexus Nondisruptive In-Service Software Upgrade 263 Nexus Disruptive and Nondisruptive Upgrade/Downgrade Procedure 265 Programmable Logical Devices Upgrade 269 Nexus Configuration Management 271 NX-OS Configuration Save and Backup 272 Nexus Config Rollback and Checkpoint 272 Network Time Management 274 Network Time Protocol 275 Precision Time Protocol 280 Network Infrastructure Monitoring 284 NX-OS System Message Logging 284 NX-OS Simple Network Management Protocol 286 Nexus Smart Call Home 292 Nexus NetFlow 293 Switched Port Analyzer 298 Streaming Telemetry 306 Network Assurance Concept 310 Exam Preparation Tasks 312 Chapter 7 Describe Cisco Nexus Dashboard 314 “Do I Know This Already?” Quiz 314 Foundation Topics 316 Cisco Nexus Dashboard 316 Cisco Nexus Dashboard Insights 318 Cisco Nexus Dashboard Orchestrator 323 Cisco Nexus Dashboard Fabric Controller 325 Cisco Nexus Dashboard Data Broker 335 Cisco Nexus Dashboard Platforms 337 Cisco Nexus Dashboard Cluster Nodes 339 Cisco Nexus Dashboard External Networks 341 Cisco Nexus Dashboard GUI Overview 342 One View Page 343 Admin Console Page 343 Exam Preparation Tasks 348 Part II Storage Chapter 8 Implement Fibre Channel 352 “Do I Know This Already?” Quiz 353 Foundation Topics 356 Cisco MDS 9000 Series Hardware 356 Cisco MDS 9700 Series Multilayer Directors 356 Cisco MDS 9300 Series Multilayer Fabric Switches 360 Cisco MDS 9200 Series Multiservice Switches 361 Cisco MDS 9100 Series Multilayer Fabric Switches 362 Fibre Channel Basics 365 Fibre Channel Topologies 365 Fibre Channel Port Types 368 Fibre Channel Addressing 371 Flow Control 372 Switched Fabric Initialization 373 Device Registration: FLOGI, PLOGI, PRLI 378 FLOGI and FCNS Databases 378 CFS 380 CFS Features 381 CFS Fabric Lock 382 CFSoIP and CFSoFC 382 CFS Merge 384 CFS Regions 384 VSAN 386 VSAN Features 386 VSAN Attributes 387 VSAN Advantages 388 Dynamic Port VSAN Membership (DPVM) 388 VSAN Trunking 389 SAN Port Channels 396 Types of SAN Port Channels 396 Port Channel Load Balancing 398 Port Channel Modes 399 Zoning 404 Zoning Features 404 Zone Enforcement 406 Full and Active Zone Set 407 Autozone 410 Zone Merge 410 Smart Zoning 411 Enhanced Zoning 412 Device Alias 418 Device Alias Features 419 Device Alias Modes 419 Device Alias Distribution 420 Zone Aliases (FC Aliases) Versus Device Aliases 421 NPIV and NPV 424 Exam Preparation Tasks 431 Chapter 9 Implement FCoE Unified Fabric 434 “Do I Know This Already?” Quiz 434 Foundation Topics 436 FCoE Overview 436 Ethernet Enhancements 438 FCoE Frame Format 442 Virtual Fibre Channel (VFC) 444 FCoE Elements and Port Types 445 FCoE Addressing and Forwarding 447 FCoE Initialization Protocol (FIP) 448 Benefits of FCoE 451 FCoE Topology Options 451 FCoE Single-Hop Topology 451 FCoE Multi-Hop Topology 454 FCoE Implementations 455 FCoE Configuration on Cisco Nexus 7000 Series Switches 456 FCoE Configuration on Cisco Nexus 5000 Series Switches 458 FCoE Configuration on Cisco Nexus 9000 Series Switches 459 FCoE over FEX 461 FCoE NPV 463 FCoE Verification 466 Exam Preparation Tasks 475 Chapter 10 Describe NFS and NAS Concepts 478 “Do I Know This Already?” Quiz 478 Foundation Topics 479 Describe NFS Concepts 479 Describe NAS Concepts 481 NAS Benefits 483 Cisco UCS S-Series Storage Servers 483 Exam Preparation Tasks 485 Chapter 11 Describe Software Management and Infrastructure Monitoring 488 “Do I Know This Already?” Quiz 488 Foundation Topics 490 Cisco MDS NX-OS Setup Utility 490 Cisco MDS NX-OS Software Upgrade and Downgrade 498 Nondisruptive Upgrade on a Cisco MDS Fabric Switch 500 Disruptive Upgrade on a Cisco MDS Fabric Switch 505 Nondisruptive Downgrade on a Cisco MDS Fabric Switch 508 Disruptive Downgrade on a Cisco MDS Fabric Switch 513 EPLD Upgrade on Cisco MDS 9000 Series Switches 515 Infrastructure Monitoring 521 System Messages 521 Call Home 521 Embedded Event Manager 522 RMON 523 SPAN 523 Exam Preparation Tasks 528 Part III Compute Chapter 12 Cisco Unified Computing Systems Overview 530 “Do I Know This Already?” Quiz 530 Foundation Topics 532 Cisco UCS Architecture 532 Cisco UCS Components and Connectivity 534 Cisco UCS 5108 Blade Server Chassis 536 UCS Blade Servers 536 Cisco UCS Rack Servers 537 Cisco UCS Storage Servers 537 Cisco UCS Mini 539 Cisco UCS Fabric Infrastructure 539 Cisco UCS 6536 Fabric Interconnect 540 Cisco UCS 6454 Fabric Interconnect 541 Cisco UCS 6300 Series Fabric Interconnects 543 Fabric Interconnect and Fabric Extender Connectivity 544 Cisco UCS Virtualization Infrastructure 550 Cisco UCS-X System 555 Cisco UCS Initial Setup and Management 557 Fabric Interconnect Connectivity and Configurations 565 Fabric Interconnect Port Modes 567 Fabric Failover for Ethernet: High-Availability vNIC 569 Ethernet Switching Mode 570 UCS Device Discovery 577 Chassis/FEX Discovery 577 Rack Server Discovery Policy 577 Initial Server Setup for Standalone UCS C-Series 578 Cisco UCS Network Management 584 UCS Virtual LAN 584 UCS Identity Pools 591 Service Profiles 596 UCS Server Policies 599 UCS Service Profile Templates 602 Quality of Service 608 Cisco UCS Storage 611 UCS SAN Connectivity 611 UCS SAN Configuration 615 Virtual Storage-Area Networks 616 World Wide Name Pool 621 SAN Connectivity Policies 624 Exam Preparation Tasks 625 Chapter 13 Cisco Unified Computing Infrastructure Monitoring 628 “Do I Know This Already?” Quiz 628 Foundation Topics 630 Cisco UCS System Monitoring 630 Data Management Engine 631 Application Gateway 631 Northbound Interfaces 631 Cisco UCS Monitoring Events and Logs 632 Cisco UCS Monitoring Policies 634 Traffic Monitoring 640 Cisco Intersight 647 Intersight Management as a Service 648 Intersight as a Telemetry Data Collection 650 Cisco Intersight Supported Software 650 Cisco Intersight Licensing 652 Exam Preparation Tasks 656 Chapter 14 Cisco Unified Compute Software and Configuration Management 658 “Do I Know This Already?” Quiz 658 Foundation Topics 660 Cisco UCS Configuration Management 660 Creating and Running a Backup Operation 661 Backup Policies 666 Backup Policy Configuration 666 Import Backups 668 Enable the Import Operation 669 System Restore 670 Restoring the Configuration for a Fabric Interconnect 671 UCS Firmware and Software Updates 672 Firmware Version Terminology 679 Firmware Upgrades Through Auto Install 680 Direct Upgrade After Auto Install Procedure 684 Install Infrastructure Firmware Procedure 688 Upgrading the Server Firmware with Auto Install 691 Standalone Cisco UCS C-Series Server Firmware Upgrade Using the Host Upgrade Utility (HUU) 693 Downloading and Preparing the ISO for an Upgrade 694 Exam Preparation Tasks 700 Chapter 15 Cisco HyperFlex Overview 702 “Do I Know This Already?” Quiz 702 Foundation Topics 704 Cisco HyperFlex Solution and Benefits 704 HyperFlex Benefits 707 HyperFlex as an Edge, Hybrid, and All-Flash Nodes 712 HyperFlex as an Edge Device 712 HyperFlex Hyperconverged Multicloud Platform (Hybrid or All-Flash) 714 HyperFlex All NVMe 715 Cisco HyperFlex Data Platform 716 Exam Preparation Tasks 728 Part IV Automation Chapter 16 Automation and Scripting Tools 730 “Do I Know This Already?” Quiz 730 Foundation Topics 733 EEM Overview 733 Policies 733 Event Statements 734 Action Statements 734 Configuring EEM 735 Verifying the EEM Configuration 736 Scheduler 736 Configuring Scheduler 737 Verifying Scheduler Configuration 739 Bash Shell for Cisco NX-OS 740 Managing Feature RPMs 742 Managing Patch RPMs 742 Guest Shell for Cisco NX-OS 743 Accessing the Guest Shell 743 Resources Used for the Guest Shell 744 Capabilities in the Guest Shell 744 Managing the Guest Shell 746 XML 748 Example 749 XML Syntax 750 JSON 751 Rest API 752 Authentication 753 Response 754 NX-API 755 NX-API Request and Response Elements 757 NX-API Developer Sandbox 759 Exam Preparation Tasks 760 Chapter 17 Evaluate Automation and Orchestration Technologies 762 “Do I Know This Already?” Quiz 762 Foundation Topics 764 Ansible 764 Ansible Components 765 Important Ansible Concepts 766 Ansible CLI Tools 767 Cisco NX-OS and Ansible Example 767 Python 768 Python Package for Cisco 769 Using the CLI Command APIs 771 Python in Interactive Mode 772 Python in Noninteractive Mode 773 UCS Manager Python SDK 775 Convert to UCS Python 777 PowerOn Auto Provisioning (POAP) 777 Limitations of POAP 778 Network Requirements for POAP 778 POAP Configuration Script 778 POAP Process 779 Configuring a Switch Using POAP 782 HashiCorp Terraform 783 Terraform Concept 784 Terraform Components 784 Terraform Commands 786 PowerShell 789 Exam Preparation Tasks 795 Part V Security Chapter 18 Network Security 798 “Do I Know This Already?” Quiz 798 Foundation Topics 801 Authentication, Authorization, and Accounting 801 AAA Service Configuration Options 802 Authentication and Authorization User Login Process 803 AAA NX-OS Configurations 804 Role-Based Access Control 807 NX-OS User Roles and Rules 809 NX-OS RBAC Configurations 811 Nexus First-Hop Security 815 Nexus Dynamic ARP Inspection 816 NX-OS DAI Configurations 819 NX-OS DHCP Snooping 827 Port Security 832 Nexus Port Secure MAC Address Maximum and Dynamic Address Aging 833 Port Security Violations and Actions 834 Nexus Port Types and Port Security 835 NX-OS Port Security Configuration 835 Nexus Control Plane Policing 837 Control Plane Packet 839 Classification for CoPP 840 NX-OS CoPP Configuration 844 Cisco ACI Contracts 851 Cisco ACI Contract Configuration Parameters 853 Create, Modify, or Remove Regular Contracts 854 Apply or Remove VRF Contracts 856 Inter-Tenant Contracts 857 Inter-Private Network Contracts Communication 858 Single Contract Bidirectional Reverse Filter 859 Single Contract Unidirectional with Multiple Filters 859 Multiple Contracts Unidirectional Single Filter 860 ACI Microsegmentation 860 Example: ACI Microsegmentation with VMs from a Single Application EPG 862 Example: ACI Microsegmentation with VMs in Different Application EPGs 863 ACI Microsegmentation Configurations 864 Keychain Authentication 868 NX-OS Keychain Configurations 868 Key Selection 871 Exam Preparation Tasks 872 Chapter 19 Compute Security 874 “Do I Know This Already?” Quiz 874 Foundation Topics 875 Securing UCS Management Using Authentication, Authorization, and Accounting 875 User RADIUS and TACACS+ Attributes 876 Two-Factor Authentication 879 UCS Web Session Refresh and Session Timeout Period 879 UCS LDAP Providers and Groups 879 RADIUS and TACACS+ Authentication Configurations 888 UCS Remote Users Role Policy 892 Multiple Authentication Services Configuration 894 Exam Preparation Tasks 895 Chapter 20 Storage Security 896 “Do I Know This Already?” Quiz 896 Foundation Topics 898 Authentication, Authorization, and Accounting 898 Authentication 899 Authorization 899 Accounting 900 Server Groups 900 AAA Service Configuration Options 900 AAA Server Monitoring 900 Remote AAA Services 901 Local AAA Services 911 AAA Authentication and Authorization Process 912 AAA Server Distribution 913 Merging RADIUS and TACACS+ Configurations 914 User Accounts and RBAC 914 User Roles 915 Rules 915 User Role Policies 917 RBAC Sample Configuration 918 Port Security 919 Port Security Configuration 921 Verification of Port Security 924 Fabric Binding 926 Fabric Binding Configuration 926 Port Security Versus Fabric Binding 928 Exam Preparation Tasks 929 Chapter 21 Final Preparation 932 Getting Ready 932 Tools for Final Preparation 933 Pearson Test Prep Practice Test Software and Questions on the Website 933 How to Access the Pearson Test Prep (PTP) App 933 Customizing Your Exams 934 Updating Your Exams 935 Chapter-Ending Review Tools 935 Learn the Question Types Using the Cisco Certification Exam Tutorial 935 Suggested Plan for Final Review/Study 940 Summary 940 Chapter 22 CCNP and CCIE Data Center Core DCCOR 350-601 Official Cert Guide Exam Updates 942 The Purpose of This Chapter 942 About Possible Exam Updates 943 Impact on You and Your Study Plan 943 News About the Next Exam Release 944 Updated Technical Content 944 Appendix A Answers to the “Do I Know This Already?” Quizzes 946 Glossary 961 Online Elements Appendix B Memory Tables Appendix C Memory Tables Answer Key Appendix D Study Planner Glossary 9780138228088 TOC 11/7/2023

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Book Synopsis

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Book SynopsisFlorian Deragisch, CCIE #47970, is a Technical Leader, working with large service provider and carrier-grade enterprise customers. He joined Cisco in 2012 as part of a graduate program, where he discovered his passion for service provider designs and technologies. After gaining extensive exposure to MPLS-based networks and services, he embraced the evolution toward segment routing with his first SR-MPLS deployment in 2018. More recently, he has focused on the migration and deployment of L2VPN/L3VPN SRv6 services to build simple and highly scalable network architectures. He holds a master's degree in electrical engineering and information technology from the Swiss Federal Institute of Technology in Zurich and a Cisco Internetwork Expert certification (CCIE #47970). When not busy with work, he enjoys traveling to explore new places, cultures, and food.   Leonir Hoxha, CCIE #49534, has been with Cisco Systems since 2013, taking on va

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Book SynopsisTable of Contents1. Introduction 2. Drivers for 5G 3. Architecture overview 4. EPC for 5G 5. Key concepts 6. Session management 7. Mobility Management 8. Security 9. Quality-of-Service 10. Policy control and charging 11. Network slicing 12. Dual connectivity 13. Network functions and services 14. Protocols 15. Selected call flows 16. Architecture extensions and vertical industries 17. Future outlook

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Book SynopsisDr. William Stallings has made a unique contribution to understanding the broad sweep of technical developments in computer security, computer networking, and computer architecture. He has authored 18 textbooks, and, counting revised editions, a total of 70 books on various aspects of these subjects. His writings have appeared in numerous ACM and IEEE publications, including the Proceedings of the IEEE and ACM Computing Reviews. He has 13 times received the award for the best computer science textbook of the year from the Text and Academic Authors Association. In over 30 years in the field, he has been a technical contributor, technical manager, and an executive with several high-technology firms. He has designed and implemented both TCP/IP-based and OSI-based protocol suites on a variety of computers and operating systems, ranging from microcomputers to mainframes. Currently, he is an independent consultant whose clients have included compuTable of ContentsPreface xxi PART I MODERN NETWORKING 3 Chapter 1: Elements of Modern Networking 4 1.1 The Networking Ecosystem . . . . . . . . . . . . . . . . . . . 5 1.2 Example Network Architectures . . . . . . . . . . . . . . . . . 7 A Global Network Architecture . . . . . . . . . . . . . . . . . . 7 A Typical Network Hierarchy . . . . . . . . . . . . . . . . . . 9 1.3 Ethernet . . . . . . . . . . . . . . . . . . . . . . . . . . 11 Applications of Ethernet . . . . . . . . . . . . . . . . . . . . 11 Standards . . . . . . . . . . . . . . . . . . . . . . . . . . 14 Ethernet Data Rates . . . . . . . . . . . . . . . . . . . . . 14 1.4 Wi-Fi . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 Applications of Wi-Fi . . . . . . . . . . . . . . . . . . . . . 19 Standards . . . . . . . . . . . . . . . . . . . . . . . . . . 21 Wi-Fi Data Rates . . . . . . . . . . . . . . . . . . . . . . . 21 1.5 4G/5G Cellular . . . . . . . . . . . . . . . . . . . . . . . . 23 First Generation . . . . . . . . . . . . . . . . . . . . . . . 23 Second Generation . . . . . . . . . . . . . . . . . . . . . . 23 Third Generation . . . . . . . . . . . . . . . . . . . . . . . 24 Fourth Generation . . . . . . . . . . . . . . . . . . . . . . 24 Fifth Generation . . . . . . . . . . . . . . . . . . . . . . . 25 1.6 Cloud Computing . . . . . . . . . . . . . . . . . . . . . . 25 Cloud Computing Concepts . . . . . . . . . . . . . . . . . . 26 The Benefits of Cloud Computing . . . . . . . . . . . . . . . . 27 Cloud Networking . . . . . . . . . . . . . . . . . . . . . . 28 Cloud Storage . . . . . . . . . . . . . . . . . . . . . . . . 28 1.7 Internet of Things. . . . . . . . . . . . . . . . . . . . . . . 28 Things on the Internet of Things . . . . . . . . . . . . . . . . 28 Evolution . . . . . . . . . . . . . . . . . . . . . . . . . . 29 Layers of the Internet of Things . . . . . . . . . . . . . . . . . 29 1.8 Network Convergence . . . . . . . . . . . . . . . . . . . . 30 1.9 Unified Communications . . . . . . . . . . . . . . . . . . . 33 1.10 Key Terms . . . . . . . . . . . . . . . . . . . . . . . . . 37 1.11 References . . . . . . . . . . . . . . . . . . . . . . . . . 37 Chapter 2: Requirements and Technology 38 2.1 Types of Network and Internet Traffic . . . . . . . . . . . . . . 39 Elastic Traffic . . . . . . . . . . . . . . . . . . . . . . . . 39 Inelastic Traffic . . . . . . . . . . . . . . . . . . . . . . . 40 Real-Time Traffic Characteristics . . . . . . . . . . . . . . . . 43 2.2 Demand: Big Data, Cloud Computing, and Mobile Traffic . . . . . . 45 Big Data . . . . . . . . . . . . . . . . . . . . . . . . . . 45 Cloud Computing . . . . . . . . . . . . . . . . . . . . . . 48 Mobile Traffic . . . . . . . . . . . . . . . . . . . . . . . . 51 2.3 Requirements: QoS and QoE . . . . . . . . . . . . . . . . . . 53 Quality of Service . . . . . . . . . . . . . . . . . . . . . . 53 Quality of Experience . . . . . . . . . . . . . . . . . . . . . 54 2.4 Routing . . . . . . . . . . . . . . . . . . . . . . . . . . . 55 Characteristics . . . . . . . . . . . . . . . . . . . . . . . . 55 Packet Forwarding . . . . . . . . . . . . . . . . . . . . . . 56 Routing Protocols . . . . . . . . . . . . . . . . . . . . . . 57 Elements of a Router . . . . . . . . . . . . . . . . . . . . . 59 2.5 Congestion Control . . . . . . . . . . . . . . . . . . . . . . 60 Effects of Congestion . . . . . . . . . . . . . . . . . . . . . 60 Congestion Control Techniques . . . . . . . . . . . . . . . . 64 2.6 SDN and NFV . . . . . . . . . . . . . . . . . . . . . . . . 67 Software-Defined Networking . . . . . . . . . . . . . . . . . 67 Network Functions Virtualization . . . . . . . . . . . . . . . . 69 2.7 Modern Networking Elements . . . . . . . . . . . . . . . . . 71 2.8 Key Terms . . . . . . . . . . . . . . . . . . . . . . . . . 72 2.9 References . . . . . . . . . . . . . . . . . . . . . . . . . 73 PART II SOFTWARE DEFINED NETWORKS 75 Chapter 3: SDN: Background and Motivation 76 3.1 Evolving Network Requirements . . . . . . . . . . . . . . . . 77 Demand Is Increasing . . . . . . . . . . . . . . . . . . . . . 77 Supply Is Increasing . . . . . . . . . . . . . . . . . . . . . 77 Traffic Patterns Are More Complex . . . . . . . . . . . . . . . 78 Traditional Network Architectures are Inadequate . . . . . . . . . 79 3.2 The SDN Approach . . . . . . . . . . . . . . . . . . . . . . 80 Requirements. . . . . . . . . . . . . . . . . . . . . . . . 80 SDN Architecture . . . . . . . . . . . . . . . . . . . . . . . 81 Characteristics of Software-Defined Networking . . . . . . . . . . 85 3.3 SDN- and NFV-Related Standards . . . . . . . . . . . . . . . 85 Standards-Developing Organizations . . . . . . . . . . . . . . 87 Industry Consortia . . . . . . . . . . . . . . . . . . . . . . 89 Open Development Initiatives . . . . . . . . . . . . . . . . . 89 3.4 Key Terms . . . . . . . . . . . . . . . . . . . . . . . . . 91 3.5 References . . . . . . . . . . . . . . . . . . . . . . . . . 91 Chapter 4: SDN Data Plane and OpenFlow 92 4.1 SDN Data Plane . . . . . . . . . . . . . . . . . . . . . . . 93 Data Plane Functions . . . . . . . . . . . . . . . . . . . . . 93 Data Plane Protocols . . . . . . . . . . . . . . . . . . . . . 95 4.2 OpenFlow Logical Network Device . . . . . . . . . . . . . . . 95 Flow Table Structure . . . . . . . . . . . . . . . . . . . . . 98 Flow Table Pipeline . . . . . . . . . . . . . . . . . . . . . 102 The Use of Multiple Tables . . . . . . . . . . . . . . . . . . 106 Group Table . . . . . . . . . . . . . . . . . . . . . . . . 107 4.3 OpenFlow Protocol . . . . . . . . . . . . . . . . . . . . . 109 4.4 Key Terms . . . . . . . . . . . . . . . . . . . . . . . . . 111 Chapter 5: SDN Control Plane 112 5.1 SDN Control Plane Architecture . . . . . . . . . . . . . . . . 113 Control Plane Functions . . . . . . . . . . . . . . . . . . . 113 Southbound Interface . . . . . . . . . . . . . . . . . . . . 116 Northbound Interface . . . . . . . . . . . . . . . . . . . . 117 Routing . . . . . . . . . . . . . . . . . . . . . . . . . . 119 5.2 ITU-T Model . . . . . . . . . . . . . . . . . . . . . . . . 120 5.3 OpenDaylight . . . . . . . . . . . . . . . . . . . . . . . . 122 OpenDaylight Architecture . . . . . . . . . . . . . . . . . . 122 OpenDaylight Helium . . . . . . . . . . . . . . . . . . . . 124 5.4 REST . . . . . . . . . . . . . . . . . . . . . . . . . . . 128 REST Constraints . . . . . . . . . . . . . . . . . . . . . . 128 Example REST API . . . . . . . . . . . . . . . . . . . . . 130 5.5 Cooperation and Coordination Among Controllers . . . . . . . . 133 Centralized Versus Distributed Controllers . . . . . . . . . . . . 133 High-Availability Clusters . . . . . . . . . . . . . . . . . . . 134 Federated SDN Networks . . . . . . . . . . . . . . . . . . . 135 Border Gateway Protocol . . . . . . . . . . . . . . . . . . . 136 Routing and QoS Between Domains . . . . . . . . . . . . . . 137 Using BGP for QoS Management . . . . . . . . . . . . . . . 138 IETF SDNi . . . . . . . . . . . . . . . . . . . . . . . . . 140 OpenDaylight SNDi . . . . . . . . . . . . . . . . . . . . . 141 5.6 Key Terms . . . . . . . . . . . . . . . . . . . . . . . . . 143 5.7 References . . . . . . . . . . . . . . . . . . . . . . . . . 143 Chapter 6: SDN Application Plane 144 6.1 SDN Application Plane Architecture . . . . . . . . . . . . . . 145 Northbound Interface . . . . . . . . . . . . . . . . . . . . 146 Network Services Abstraction Layer . . . . . . . . . . . . . . 146 Network Applications . . . . . . . . . . . . . . . . . . . . 147 User Interface . . . . . . . . . . . . . . . . . . . . . . . 147 6.2 Network Services Abstraction Layer . . . . . . . . . . . . . . 147 Abstractions in SDN . . . . . . . . . . . . . . . . . . . . . 147 Frenetic . . . . . . . . . . . . . . . . . . . . . . . . . . 150 6.3 Traffic Engineering . . . . . . . . . . . . . . . . . . . . . 153 PolicyCop . . . . . . . . . . . . . . . . . . . . . . . . . 153 6.4 Measurement and Monitoring . . . . . . . . . . . . . . . . . 157 6.5 Security . . . . . . . . . . . . . . . . . . . . . . . . . . 157 OpenDaylight DDoS Application . . . . . . . . . . . . . . . . 157 6.6 Data Center Networking . . . . . . . . . . . . . . . . . . . 162 Big Data over SDN . . . . . . . . . . . . . . . . . . . . . 163 Cloud Networking over SDN . . . . . . . . . . . . . . . . . 164 6.7 Mobility and Wireless . . . . . . . . . . . . . . . . . . . . 168 6.8 Information-Centric Networking . . . . . . . . . . . . . . . . 168 CCNx . . . . . . . . . . . . . . . . . . . . . . . . . . . 169 Use of an Abstraction Layer . . . . . . . . . . . . . . . . . . 170 6.9 Key Terms . . . . . . . . . . . . . . . . . . . . . . . . . 173 PART III VIRTUALIATION 175 Chapter 7: Network Functions Virtualization: Concepts and Architecture 176 7.1 Background and Motivation for NFV . . . . . . . . . . . . . . 177 7.2 Virtual Machines . . . . . . . . . . . . . . . . . . . . . . 178 The Virtual Machine Monitor. . . . . . . . . . . . . . . . . . 179 Architectural Approaches . . . . . . . . . . . . . . . . . . . 180 Container Virtualization . . . . . . . . . . . . . . . . . . . . 183 7.3 NFV Concepts . . . . . . . . . . . . . . . . . . . . . . . 184 Simple Example of the Use of NFV . . . . . . . . . . . . . . . 188 NFV Principles . . . . . . . . . . . . . . . . . . . . . . . 189 High-Level NFV Framework . . . . . . . . . . . . . . . . . . 190 7.4 NFV Benefits and Requirements . . . . . . . . . . . . . . . . 191 NFV Benefits . . . . . . . . . . . . . . . . . . . . . . . . 191 NFV Requirements . . . . . . . . . . . . . . . . . . . . . 192 7.5 NFV Reference Architecture . . . . . . . . . . . . . . . . . . 193 NFV Management and Orchestration . . . . . . . . . . . . . . 194 Reference Points . . . . . . . . . . . . . . . . . . . . . . 195 Implementation . . . . . . . . . . . . . . . . . . . . . . . 196 7.6 Key Terms . . . . . . . . . . . . . . . . . . . . . . . . . 197 7.7 References . . . . . . . . . . . . . . . . . . . . . . . . . 197 Chapter 8: NFV Functionality 198 8.1 NFV Infrastructure . . . . . . . . . . . . . . . . . . . . . . 199 Container Interface . . . . . . . . . . . . . . . . . . . . . 199 Deployment of NFVI Containers . . . . . . . . . . . . . . . . 203 Logical Structure of NFVI Domains . . . . . . . . . . . . . . . 204 Compute Domain . . . . . . . . . . . . . . . . . . . . . . 205 Hypervisor Domain . . . . . . . . . . . . . . . . . . . . . 208 Infrastructure Network Domain . . . . . . . . . . . . . . . . 209 8.2 Virtualized Network Functions . . . . . . . . . . . . . . . . . 213 VNF Interfaces . . . . . . . . . . . . . . . . . . . . . . . 213 VNFC to VNFC Communication . . . . . . . . . . . . . . . . 215 VNF Scaling . . . . . . . . . . . . . . . . . . . . . . . . 216 8.3 NFV Management and Orchestration . . . . . . . . . . . . . . 217 Virtualized Infrastructure Manager . . . . . . . . . . . . . . . 217 Virtual Network Function Manager . . . . . . . . . . . . . . . 218 NFV Orchestrator . . . . . . . . . . . . . . . . . . . . . . 219 Repositories . . . . . . . . . . . . . . . . . . . . . . . . 219 Element Management . . . . . . . . . . . . . . . . . . . . 220 OSS/BSS . . . . . . . . . . . . . . . . . . . . . . . . . 220 8.4 NFV Use Cases . . . . . . . . . . . . . . . . . . . . . . . 221 Architectural Use Cases . . . . . . . . . . . . . . . . . . . 222 Service-Oriented Use Cases . . . . . . . . . . . . . . . . . 223 8.5 SDN and NFV . . . . . . . . . . . . . . . . . . . . . . . . 225 8.6 Key Terms . . . . . . . . . . . . . . . . . . . . . . . . . 228 8.7 References . . . . . . . . . . . . . . . . . . . . . . . . . 229 Chapter 9: Network Virtualization 230 9.1 Virtual LANs . . . . . . . . . . . . . . . . . . . . . . . . 231 The Use of Virtual LANs . . . . . . . . . . . . . . . . . . . 234 Defining VLANs . . . . . . . . . . . . . . . . . . . . . . . 235 Communicating VLAN Membership . . . . . . . . . . . . . . 236 IEEE 802.1Q VLAN Standard . . . . . . . . . . . . . . . . . 237 Nested VLANs . . . . . . . . . . . . . . . . . . . . . . . 239 9.2 OpenFlow VLAN Support . . . . . . . . . . . . . . . . . . . 240 9.3 Virtual Private Networks . . . . . . . . . . . . . . . . . . . 241 IPsec VPNs . . . . . . . . . . . . . . . . . . . . . . . . 241 MPLS VPNs . . . . . . . . . . . . . . . . . . . . . . . . 243 9.4 Network Virtualization . . . . . . . . . . . . . . . . . . . . 247 A Simplified Example . . . . . . . . . . . . . . . . . . . . 248 Network Virtualization Architecture . . . . . . . . . . . . . . . 250 Benefits of Network Virtualization . . . . . . . . . . . . . . . 252 9.5 OpenDaylight's Virtual Tenant Network. . . . . . . . . . . . . 253 9.6 Software-Defined Infrastructure . . . . . . . . . . . . . . . . 257 Software-Defined Storage . . . . . . . . . . . . . . . . . . 259 SDI Architecture . . . . . . . . . . . . . . . . . . . . . . 261 9.7 Key Terms . . . . . . . . . . . . . . . . . . . . . . . . . 263 9.8 References . . . . . . . . . . . . . . . . . . . . . . . . . 263 PART IV DEFINING AND SUPPORTING USER NEEDS 265 Chapter 10: Quality of Service 266 10.1 Background . . . . . . . . . . . . . . . . . . . . . . . . 267 10.2 QoS Architectural Framework . . . . . . . . . . . . . . . . 268 Data Plane . . . . . . . . . . . . . . . . . . . . . . . . . 269 Control Plane . . . . . . . . . . . . . . . . . . . . . . . . 271 Management Plane . . . . . . . . . . . . . . . . . . . . . 272 10.3 Integrated Services Architecture . . . . . . . . . . . . . . . 273 ISA Approach . . . . . . . . . . . . . . . . . . . . . . . . 273 ISA Components . . . . . . . . . . . . . . . . . . . . . . 274 ISA Services . . . . . . . . . . . . . . . . . . . . . . . . 276 Queuing Discipline . . . . . . . . . . . . . . . . . . . . . 277 10.4 Differentiated Services . . . . . . . . . . . . . . . . . . . 279 Services . . . . . . . . . . . . . . . . . . . . . . . . . . 281 DiffServ Field . . . . . . . . . . . . . . . . . . . . . . . . 282 DiffServ Configuration and Operation . . . . . . . . . . . . . . 284 Per-Hop Behavior . . . . . . . . . . . . . . . . . . . . . . 286 Default Forwarding PHB . . . . . . . . . . . . . . . . . . . 287 10.5 Service Level Agreements . . . . . . . . . . . . . . . . . . 291 10.6 IP Performance Metrics . . . . . . . . . . . . . . . . . . . 293 10.7 OpenFlow QoS Support . . . . . . . . . . . . . . . . . . . 296 Queue Structures . . . . . . . . . . . . . . . . . . . . . . 296 Meters . . . . . . . . . . . . . . . . . . . . . . . . . . 297 10.8 Key Terms . . . . . . . . . . . . . . . . . . . . . . . . 299 10.9 References . . . . . . . . . . . . . . . . . . . . . . . . 299 Chapter 11: QoE: User Quality of Experience 300 11.1 Why QoE? . . . . . . . . . . . . . . . . . . . . . . . . 301 Online Video Content Delivery . . . . . . . . . . . . . . . . . 302 11.2 Service Failures Due to Inadequate QoE Considerations . . . . . 304 11.3 QoE-Related Standardization Projects . . . . . . . . . . . . . 304 11.4 Definition of Quality of Experience . . . . . . . . . . . . . . . 305 Definition of Quality . . . . . . . . . . . . . . . . . . . . . 306 Definition of Experience . . . . . . . . . . . . . . . . . . . 306 Quality Formation Process . . . . . . . . . . . . . . . . . . 307 Definition of Quality of Experience . . . . . . . . . . . . . . . 308 11.5 QoE Strategies in Practice . . . . . . . . . . . . . . . . . . 308 The QoE/QoS Layered Model . . . . . . . . . . . . . . . . . 308 Summarizing and Merging the QoE/QoS Layers . . . . . . . . . 310 11.6 Factors Influencing QoE . . . . . . . . . . . . . . . . . . . 311 11.7 Measurements of QoE . . . . . . . . . . . . . . . . . . . 312 Subjective Assessment . . . . . . . . . . . . . . . . . . . . 312 Objective Assessment . . . . . . . . . . . . . . . . . . . . 314 End-User Device Analytics . . . . . . . . . . . . . . . . . . 315 Summarizing the QoE Measurement Methods . . . . . . . . . . 316 11.8 Applications of QoE . . . . . . . . . . . . . . . . . . . . 317 11.9 Key Terms . . . . . . . . . . . . . . . . . . . . . . . . 319 11.10 References . . . . . . . . . . . . . . . . . . . . . . . . 320 Chapter 12: Network Design Implications of QoS and QoE 322 12.1 Classification of QoE/QoS Mapping Models . . . . . . . . . . 323 Black-Box Media-Based QoS/QoE Mapping Models . . . . . . . 323 Glass-Box Parameter-Based QoS/QoE Mapping Models . . . . . . 325 Gray-Box QoS/QoE Mapping Models . . . . . . . . . . . . . . 326 Tips for QoS/QoE Mapping Model Selection . . . . . . . . . . . 327 12.2 IP-Oriented Parameter-Based QoS/QoE Mapping Models . . . . . 327 Network Layer QoE/QoS Mapping Models for Video Services . . . . 328 Application Layer QoE/QoS Mapping Models for Video Services . . 328 12.3 Actionable QoE over IP-Based Networks . . . . . . . . . . . . 330 The System-Oriented Actionable QoE Solution . . . . . . . . . . 330 The Service-Oriented Actionable QoE Solution . . . . . . . . . . 331 12.4 QoE Versus QoS Service Monitoring . . . . . . . . . . . . . . 332 QoS Monitoring Solutions. . . . . . . . . . . . . . . . . . . 334 QoE Mo

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Book SynopsisIvo Pinto, CCIE No. 57162 (R&S, Security, and Data Center), CISSP, is a Solutions Architect with many years of experience in the fields of cloud, automation, and enterprise and data center networking. Ivo has worked at Cisco in different roles and different geographies, and he has led the architecture and deployment of many automated global-scale solutions for Fortune 50 companies that are in production today. In his latest role, he is responsible for the architecture of multiple ISV products at Amazon Web Services (AWS). Ivo has authored multiple white papers, blogs, and the book Network Automation Made Easy. You can follow Ivo on LinkedIn @ivopinto01. Faisal Chaudhry, CCIE No. 2706 (R&S and Voice), is a Distinguished Engineer in Cisco Customer Experience (CX). In his current role, Faisal works with Cisco customers and industry on cloud automation and orchestration, software-defined networking (SDN) solutions, and network fun

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Book SynopsisUse your interpersonal and communication skills as a financial professional to work successfully with clients Embark on a journey to further develop your career when you read People-Centric Skills: Interpersonal and Communication Skills for Financial Professionals, 2nd Edition. Business leaders consider employee communication skills and critical thinking abilities as essential elements for success. In their work, all professionals must communicate clearly and rely on their interpersonal skills to be successful. This second edition of People-Centric Skills shares the fictional story of Dalton Zimmer, executive coach and public speaker. Dalton, all the while juggling his business, kids and social life, provides coaching and communication strategies for handling challenging situations faced by his clients. This insightful narrative will help you expand communication and soft skills as a CPA, auditor, financial planner or otherTable of ContentsForeword ix Preface xi Acknowledgments xv Chapter 1 The People-Centric Journey Begins Anew 1 Chapter 2 Reading Through People 5 Chapter 3 Emotional Intelligence 29 Chapter 4 Different Points of View: Using Self-Awareness and Empathy Effectively 47 Chapter 5 Wrong Mode = Wrong Mood: Determining the Optimal Mode of Communication 51 Chapter 6 Influencing Change Throughout Any Business 59 Chapter 7 Projecting the Real You: Public Speaking 65 Chapter 8 Coaching and Mentoring 93 Chapter 9 Presentation Skills and Body Language 99 Chapter 10 Thinking Quickly on Your Feet 125 Chapter 11 Coaching and Mentoring, Revisited 131 Chapter 12 Crisis Management 139 Epilogue 143 Appendix 145 About the Author 179 Index 181

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Book SynopsisTable of ContentsIntroduction 1 About This Book 2 Foolish Assumptions 3 Icons Used in This Book 3 Beyond the Book 3 Where to Go from Here 4 Part 1: Getting Started with Cloud Security 5 Chapter 1: Clouds Aren’t Bulletproof 7 Knowing Your Business 8 Discovering the company jewels 8 Initiating your plan 8 Automating the discovery process 8 Knowing Your SLA Agreements with Service Providers 10 Where is the security? 10 Knowing your part 11 Building Your Team 11 Finding the right people 12 Including stakeholders 12 Creating a Risk Management Plan 13 Identifying the risks 14 Assessing the consequences of disaster 15 Pointing fingers at the right people 15 Disaster planning 16 When Security Is Your Responsibility 17 Determining which assets to protect 17 Knowing your possible threat level 20 Van Gogh with it (paint a picture of your scenario) 21 Setting up a risk assessment database 22 Avoiding Security Work with the Help of the Cloud 24 Having someone else ensure physical security 25 Making sure providers have controls to separate customer data 25 Recognizing that cloud service providers can offer better security 25 Chapter 2: Getting Down to Business 27 Negotiating the Shared Responsibility Model 28 Coloring inside the lines 29 Learning what to expect from a data center 29 Taking responsibility for your 75 percent 31 SaaS, PaaS, IaaS, AaaA! 31 SaaS 31 SaaS security 32 PaaS 32 PaaS security 33 IaaS 33 IaaS security 34 FaaS 34 SaaS, PaaS, IaaS, FaaS responsibilities 34 Managing Your Environment 35 Restricting access 36 Assessing supply chain risk 36 Managing virtual devices 38 Application auditing 38 Managing Security for Devices Not Under Your Control 39 Inventorying devices 39 Using a CASB solution 40 Applying Security Patches 41 Looking Ahead 42 Chapter 3: Storing Data in the Cloud 43 Dealing with the Data Silo Dilemma 44 Cataloging Your Data 45 Selecting a data catalog software package 46 Three steps to building a data catalog 46 Controlling data access 47 Working with labels 49 Developing label-based security 50 Applying sensitivity levels 50 Assessing impact to critical functions 50 Working with Sample Classification Systems 51 Tokenizing Sensitive Data 54 Defining data tokens 54 Isolating your tokenization system 55 Accessing a token system 55 Segmenting Data 56 Anonymizing Data 56 Encrypting Data in Motion, in Use, and at Rest 58 Securing data in motion 59 Encrypting stored data 59 Protecting data in use by applications 60 Creating Data Access Security Levels 60 Controlling User Access 61 Restricting IP access 61 Limiting device access 62 Building the border wall and other geofencing techniques 63 Getting rid of stale data 64 Chapter 4: Developing Secure Software 65 Turbocharging Development 65 No more waterfalls 66 CI/CD: Continuous integration/continuous delivery 68 Shifting left and adding security in development 68 Tackling security sooner rather than later 69 Putting security controls in place first 70 Circling back 70 Implementing DevSecOps 71 Automating Testing during Development 71 Using static and dynamic code analysis 72 Taking steps in automation 73 Leveraging software composition analysis 74 Proving the job has been done right 76 Logging and monitoring 76 Ensuring data accountability, data assurance, and data dependability 77 Running Your Applications 78 Taking advantage of cloud agnostic integration 79 Recognizing the down sides of cloud agnostic development 80 Getting started down the cloud agnostic path 81 Like DevOps but for Data 82 Testing, 1-2-3 84 Is this thing working? 85 Working well with others 85 Baking in trust 85 DevSecOps for DataOps 86 Considering data security 87 Ending data siloes 88 Developing your data store 89 Meeting the Challenges of DataSecOps 90 Understanding That No Cloud Is Perfect 92 Chapter 5: Restricting Access 95 Determining the Level of Access Required 95 Catching flies with honey 96 Determining roles 97 Auditing user requirements 97 Understanding Least Privilege Policy 98 Granting just-in-time privileges 99 The need-to-know strategy 99 Granting access to trusted employees 99 Restricting access to contractors 100 Implementing Authentication 101 Multifactor authentication (Or, who’s calling me now?) 101 Authenticating with API keys 102 Using Firebase authentication 102 Employing OAuth 103 Google and Facebook authentication methods 103 Introducing the Alphabet Soup of Compliance 104 Global compliance 104 Complying with PCI 105 Complying with GDPR 106 HIPAA compliance 107 Government compliance 109 Compliance in general 110 Maintaining Compliance and CSPM 110 Discovering and remediating threats with CSPM applications 112 Automating Compliance 113 Integrating with DevOps 113 Controlling Access to the Cloud 114 Using a cloud access security broker (CASB) 115 Middleware protection systems 117 Getting Certified 121 ISO 27001 Compliance 121 SOC 2 compliance 122 PCI certification 124 Part 2: Acceptance 125 Chapter 6: Managing Cloud Resources 127 Defending Your Cloud Resources from Attack 128 Living in a Virtual World 129 Moving to virtualization 130 Addressing VM security concerns 130 Using containers 131 Securing Cloud Resources with Patch Management 132 Patching VMs and containers 133 Implementing patch management 133 Keeping Your Cloud Assets Straight in Your Mind 134 Keeping Tabs with Logs 136 Using Google Cloud Management software 136 Using AWS log management 137 Using Azure log management 139 Working with third-party log management software 139 Logging containers 140 Building Your Own Defenses 141 Creating your development team 141 Using open-source security 142 Protecting your containers 143 Protecting your codebase 143 Chapter 7: The Role of AIOps in Cloud Security 145 Taking the AIOps Route 146 Detecting the problem 148 Using dynamic thresholds 149 Catching attacks early in the Cyber Kill chain 149 Prioritizing incidents 150 Assigning tasks 150 Diagnosing the root problem 151 Reducing time to MTTR 151 Spotting transitory problems 152 Digging into the past 152 Solving the problem 153 Achieving resolution 154 Automating security responses 154 Continually improving 155 Making Things Visible 155 Implementing resource discovery 155 Automating discovery 156 Managing Resources, CMDB-Style 157 Seeing potential impacts 157 Adding configuration items 158 Employing CSDM 158 Using AIOps 159 Gaining insights 159 Examining a wireless networking use case 159 Using Splunk to Manage Clouds 161 Observability 161 Alerts 162 Splunk and AIOps 163 Predictive analytics 163 Adaptive thresholding 163 Views of everything 164 Deep Dive in Splunk 164 Event Analytics in Splunk 164 Splunk On-Call 165 Phantom 166 Putting ServiceNow Through Its Paces 167 AIOps require an overhead view 167 React to problems 167 Gauge system health 168 Automation makes it all happen 169 Getting the Job Done with IT Service Management 170 How ITSM is different 170 Performance analytics 170 Changing Your Team 171 A (Not So Final) Word 172 Chapter 8: Implementing Zero Trust 173 Making the Shift from Perimeter Security 174 Examining the Foundations of Zero Trust Philosophy 175 Two-way authentication 175 Endpoint device management 176 End-to-end encryption 177 Policy based access 179 Accountability 181 Least privilege 182 Network access control and beyond 182 CSPM risk automation 184 Dealing with Zero Trust Challenges 185 Choose a roadmap 186 Take a simple, step-by-step approach 186 Keep in mind some challenges you face in implementing zero trust 190 Chapter 9: Dealing with Hybrid Cloud Environments 195 Public Clouds Make Pretty Sunsets 196 Controlling your environment 197 Optimizing for speed 197 Managing security 198 Private Clouds for Those Special Needs 199 Wrapping Your Mind around Hybrid Cloud Options 200 Hybrid storage solution 201 Tiered data storage 202 Gauging the Advantages of the Hybrid Cloud Setup 203 It’s scalable 203 The costs 203 You maintain control 203 The need for speed 204 Overcoming data silos 204 Compliance 206 Struggling with Hybrid Challenges 207 Handling a larger attack surface 207 Data leakage 207 Data transport times 208 Complexity 208 Risks to your service level agreements 208 Overcoming Hybrid Challenges 209 Asset management 209 SAM 210 HAM 211 IT asset management 211 Latency issues 212 On the Move: Migrating to a Hybrid Cloud 213 Data migration readiness 213 Making a plan 213 Picking the right cloud service 214 Using a migration calendar 215 Making it happen 215 Dealing with compatibility issues 215 Using a Package 216 HPE Hybrid Cloud Solution 216 Amazon Web Services 216 Microsoft Azure 217 Chapter 10: Data Loss and Disaster Recovery 219 Linking Email with Data Loss 220 Data loss from malware 221 The nefarious ransomware 222 Ransomware and the cloud 223 Crafting Data Loss Prevention Strategies 224 Backing up your data 226 Tiered backups 226 Minimizing Cloud Data Loss 229 Why Cloud DLP? 229 Cloud access security brokers 229 Recovering from Disaster 232 Recovery planning 232 Business continuity 232 RTO and RPO 233 Coming up with the recovery plan itself 233 Chaos Engineering 235 Practical chaos engineering 236 Listing what could go wrong 238 Seeing how bad it can get 239 Attaining resiliency 239 Part 3: Business as Usual 241 Chapter 11: Using Cloud Security Services 243 Customizing Your Data Protection 244 Validating Your Cloud 244 Multifactor authentication 245 One-time passwords 245 Managing file transfers 250 HSM: Hardware Security Modules for the Big Kids 251 Looking at HSM cryptography 252 Managing keys with an HSM 253 Building in tamper resistance 255 Using HSMs to manage your own keys 255 Meeting financial data security requirements with HSMs 256 DNSSEC 256 OpenDNSSEC 257 Evaluating HSM products 258 Looking at cloud HSMs 259 KMS: Key Management Services for Everyone Else 259 SSH compliance 260 The encryption-key lifecycle 262 Setting Up Crypto Service Gateways 263 Chapter 12: When Things Go Wrong 265 Finding Your Focus 265 Stealing Data 101 266 Landing, expanding, and exfiltrating 267 Offboarding employees 273 Preventing the Preventable and Managing Employee Security 276 Navigating Cloud Native Breaches 280 Minimizing employee error 281 Guarding against insider data thefts 283 Preventing employee data spillage 284 Cleaning up after the spill 285 Chapter 13: Security Frameworks 289 Looking at Common Frameworks 290 COBIT 290 SABSA 291 Federal Financial Institutions Examination Council (FFIEC) Cyber Assessment Tool (CAT) 292 Federal Risk and Authorization Management Program (FEDRAMP) 292 Personal Information Protection and Electronic Documents Act (PIPEDA) 293 Payment Card Industry — Data Security Standard (PCI–DSS) 293 GLBA 293 SCF 294 DFARS 252.204-7012/ NIST 800-171 294 ISO/IEC 27000 Series 295 CIS Critical Security Controls 295 CIS Benchmarks 295 Common Criteria 296 FDA regulations on electronic records and signatures 296 ITIL 297 Introducing SASE Architecture 298 The sassy side of SASE 299 Sassy makeup 300 The Cloud Native Application Protection Platform 303 Working with CWPP 304 Managing with CSPM 305 NIST Risk Management Framework 305 Federal Information Security Modernization Act 306 Cybersecurity Strategy and Implementation Plan 307 Chapter 14: Security Consortiums 311 Doing the Right Thing 311 Membership in the Cloud Security Alliance 313 Company membership 314 Individual membership 315 Getting that Stamp of Approval 317 CCSK Certification 317 CISA: Certified Security Information Systems Auditor 317 CRISC: Certified Risk and Information Systems Control 318 CCAK: Certificate of Cloud Auditing Knowledge 318 Advanced Cloud Security Practitioner 318 GDPR Lead Auditor and Consultant 319 Information Security Alliances, Groups, and Consortiums 319 Words for the Road 321 Part 4: The Part of Tens 323 Chapter 15: Ten Steps to Better Cloud Security 325 Scoping Out the Dangers 326 Inspiring the Right People to Do the Right Thing 327 Keeping Configuration Management on the Straight and Narrow 328 Adopting AIOps 329 Getting on board with DataOps 330 Befriending Zero Trust 330 Keeping the Barn Door Closed 331 Complying with Compliance Mandates 332 Joining the Cloud Security Club 333 Preparing for the Future 333 Chapter 16: Cloud Security Solutions 335 Checkpoint CloudGuard 335 CloudPassage Halo 336 Threat Stack Cloud Security Platform 336 Symantec Cloud Workload Protection 336 Datadog Monitoring Software 337 Azure AD 338 Palo Alto Prisma 338 Fortinet Cloud Security 338 ServiceNow AIOps 339 Lacework 340 Index 341

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Book SynopsisPrepare to succeed in your new cybersecurity career with the challenging and sought-after CASP+ credential In the newly updated Fourth Edition ofCASP+ CompTIA Advanced Security Practitioner Study Guide Exam CAS-004,risk management and compliance expert Jeff Parker walks you through critical security topicsand hands-on labsdesigned to prepare you for thenew CompTIA Advanced Security Professional exam and a career in cybersecurityimplementation.Contentand chapter structure ofthisFourtheditionwasdeveloped and restructuredtorepresenttheCAS-004ExamObjectives. From operations and architecture concepts, techniques and requirements torisk analysis, mobile and small-form factor device security, secure cloud integration, and cryptography,you'lllearn the cybersecurity technical skills you'll need tosucceed on the new CAS-004 exam, impress interviewers during your job search, and excel in your new career in cybersecurity implementation. This comprehensive book offers: Efficient preparation for a challengingand rewarding career in implementing specific solutions within cybersecurity policies and frameworksA robust grounding in thetechnicalskills you'll need toimpress duringcybersecurityinterviewsContent delivered through scenarios,a strongfocusof theCAS-004ExamAccess to an interactive online test bank and study tools, including bonus practice exam questions, electronic flashcards, and a searchable glossary of keyterms Perfect for anyonepreparing for the CASP+ (CAS-004) exam and a new career in cybersecurity,CASP+ CompTIA Advanced Security Practitioner Study Guide Exam CAS-004is also an ideal resource for current IT professionalswantingtopromotetheir cybersecurity skills or prepare for acareer transition into enterprise cybersecurity.Table of ContentsIntroduction xxv Assessment Test xxxv Chapter 1 Risk Management 1 Risk Terminology 4 The Risk Assessment Process 6 Asset Identification 6 Information Classification 8 Risk Assessment 9 Risk Assessment Options 14 Implementing Controls 16 Policies Used to Manage Employees 17 Pre-Employment Policies 18 Employment Policies 18 End of Employment and Termination Procedures 20 Cost-Benefit Analysis 21 Continuous Monitoring 22 Enterprise Security Architecture Frameworks and Governance 23 Training and Awareness for Users 24 Best Practices for Risk Assessments 25 Business Continuity Planning and Disaster Recovery 27 Reviewing the Effectiveness of Existing Security Controls 28 Conducting Lessons Learned and After-Action Reviews 30 Creation, Collection, and Analysis of Metrics 31 Metrics 31 Trend Data 32 Analyzing Security Solutions to Ensure They Meet Business Needs 32 Testing Plans 33 Internal and External Audits 34 Using Judgment to Solve Difficult Problems 35 Summary 35 Exam Essentials 36 Review Questions 38 Chapter 2 Configure and Implement Endpoint Security Controls 43 Hardening Techniques 45 Address Space Layout Randomization Use 47 Hardware Security Module and Trusted Platform Module 48 Trusted Operating Systems 52 Compensating Controls 55 Summary 57 Exam Essentials 58 Review Questions 59 Chapter 3 Security Operations Scenarios 63 Threat Management 66 Types of Intelligence 66 Threat Hunting 67 Threat Emulation 67 Actor Types 67 Intelligence Collection Methods 71 Open-Source Intelligence 71 Human Intelligence and Social Engineering 73 Frameworks 74 MITRE Adversarial Tactics, Techniques and Common Knowledge 74 ATT&CK for Industrial Control Systems 75 Cyber Kill Chain 76 Diamond Model of Intrusion Analysis 76 Indicators of Compromise 77 Reading the Logs 77 Intrusion Detection and Prevention 78 Notifications and Responses to IoCs 79 Response 80 Summary 85 Exam Essentials 85 Review Questions 86 Chapter 4 Security Ops: Vulnerability Assessments and Operational Risk 91 Terminology 97 Vulnerability Management 98 Security Content Automation Protocol 103 Self-Assessment vs. Third-Party Vendor Assessment 105 Patch Management 108 Information Sources 110 Tools 112 Assessments 124 Penetration Testing 129 Assessment Types 131 Vulnerabilities 134 Buffer Overflow 134 Integer Overflow 135 Memory Leaks 136 Race Conditions (TOC/TOU) 136 Resource Exhaustion 137 Data Remnants 138 Use of Third-Party Libraries 138 Code Reuse 138 Cryptographic Vulnerabilities 138 Broken Authentication 139 Security Misconfiguration 140 Inherently Vulnerable System/Application 140 Client-Side Processing vs. Server-Side Processing 141 Attacks 145 Proactive Detection 153 Incident Response 153 Countermeasures 153 Deceptive Technology 154 USB Key Drops 155 Simulation 155 Security Data Analytics 155 Application Control 156 Allow and Block Lists 157 Security Automation 157 Physical Security 158 Summary 159 Exam Essentials 160 Review Questions 161 Chapter 5 Compliance and Vendor Risk 165 Shared Responsibility in Cloud Computing 168 Cloud Service/Infrastructure Models 169 Cloud Computing Providers and Hosting Options 169 Benefits of Cloud Computing 171 Security of On-Demand/Elastic Cloud Computing 174 Geographic Location 175 Infrastructure 175 Compute 175 Storage 175 Networking 176 Managing and Mitigating Risk 182 Security Concerns of Integrating Diverse Industries 185 Regulations, Accreditations, and Standards 187 PCI DSS 187 GDPR 190 ISO 192 CMMI 193 NIST 194 COPPA 195 CSA-STAR 196 HIPAA, SOX, and GLBA 197 Contract and Agreement Types 198 Third-Party Attestation of Compliance 202 Legal Considerations 203 Summary 204 Exam Essentials 205 Review Questions 206 Chapter 6 Cryptography and PKI 211 The History of Cryptography 216 Cryptographic Goals and Requirements 217 Supporting Security Requirements 218 Compliance and Policy Requirements 219 Privacy and Confidentiality Requirements 219 Integrity Requirements 220 Nonrepudiation 220 Risks with Data 221 Data at Rest 221 Data in Transit 222 Data in Process/Data in Use 222 Hashing 223 Message Digest 225 Secure Hash Algorithm 225 Message Authentication Code 226 Hashed Message Authentication Code 226 RACE Integrity Primitives Evaluation Message Digest 226 Poly1305 226 Symmetric Algorithms 227 Data Encryption Standard 230 Triple DES 231 Rijndael and the Advanced Encryption Standard 231 ChaCha 232 Salsa20 232 International Data Encryption Algorithm 232 Rivest Cipher Algorithms 233 Counter Mode 233 Asymmetric Encryption 233 Diffie–Hellman 235 RSA 236 Elliptic Curve Cryptography 237 ElGamal 238 Hybrid Encryption and Electronic Data Exchange (EDI) 238 Public Key Infrastructure Hierarchy 239 Certificate Authority 240 Registration Authority 241 Digital Certificates 241 Certificate Revocation List 243 Certificate Types 243 Certificate Distribution 244 The Client’s Role in PKI 245 Implementation of Cryptographic Solutions 247 Application Layer Encryption 248 Transport Layer Encryption 249 Internet Layer Controls 250 Additional Authentication Protocols 251 Cryptocurrency 252 Digital Signatures 252 Recognizing Cryptographic Attacks 254 Troubleshooting Cryptographic Implementations 256 Summary 259 Exam Essentials 259 Review Questions 261 Chapter 7 Incident Response and Forensics 265 The Incident Response Framework 268 Event Classifications 268 Triage Events 269 Pre-Escalation Tasks 270 The Incident Response Process 270 Response Playbooks and Processes 273 Communication Plan and Stakeholder Management 274 Forensic Concepts 277 Principles, Standards, and Practices 278 The Forensic Process 279 Forensic Analysis Tools 283 File Carving Tools 284 Binary Analysis Tools 284 Analysis Tools 286 Imaging Tools 288 Hashing Utilities 289 Live Collection vs. Postmortem Tools 290 Summary 294 Exam Essentials 294 Review Questions 295 Chapter 8 Security Architecture 301 Security Requirements and Objectives for a Secure Network Architecture 310 Services 310 Segmentation 334 Deperimeterization/Zero Trust 344 Merging Networks from Various Organizations 352 Software-Defined Networking 357 Organizational Requirements for Infrastructure Security Design 358 Scalability 358 Resiliency 359 Automation 359 Containerization 360 Virtualization 361 Content Delivery Network 361 Integrating Applications Securely into an Enterprise Architecture 362 Baseline and Templates 362 Software Assurance 367 Considerations of Integrating Enterprise Applications 370 Integrating Security into the Development Life Cycle 373 Data Security Techniques for Securing Enterprise Architecture 384 Data Loss Prevention 384 Data Loss Detection 387 Data Classification, Labeling, and Tagging 388 Obfuscation 390 Anonymization 390 Encrypted vs. Unencrypted 390 Data Life Cycle 391 Data Inventory and Mapping 391 Data Integrity Management 391 Data Storage, Backup, and Recovery 392 Security Requirements and Objectives for Authentication and Authorization Controls 394 Credential Management 394 Password Policies 396 Federation 398 Access Control 399 Protocols 401 Multifactor Authentication 403 One-Time Passwords 404 Hardware Root of Trust 404 Single Sign-On 405 JavaScript Object Notation Web Token 405 Attestation and Identity Proofing 406 Summary 406 Exam Essentials 407 Review Questions 410 Chapter 9 Secure Cloud and Virtualization 415 Implement Secure Cloud and Virtualization Solutions 418 Virtualization Strategies 419 Deployment Models and Considerations 425 Service Models 429 Cloud Provider Limitations 433 Extending Appropriate On-Premises Controls 433 Storage Models 439 How Cloud Technology Adoption Impacts Organization Security 445 Automation and Orchestration 445 Encryption Configuration 445 Logs 446 Monitoring Configurations 447 Key Ownership and Location 448 Key Life-Cycle Management 448 Backup and Recovery Methods 449 Infrastructure vs. Serverless Computing 450 Software-Defined Networking 450 Misconfigurations 451 Collaboration Tools 451 Bit Splitting 461 Data Dispersion 461 Summary 461 Exam Essentials 462 Review Questions 463 Chapter 10 Mobility and Emerging Technologies 467 Emerging Technologies and Their Impact on Enterprise Security and Privacy 471 Artificial Intelligence 472 Machine Learning 472 Deep Learning 472 Quantum Computing 473 Blockchain 473 Homomorphic Encryption 474 Distributed Consensus 475 Big Data 475 Virtual/Augmented Reality 475 3D Printing 476 Passwordless Authentication 476 Nano Technology 477 Biometric Impersonation 477 Secure Enterprise Mobility Configurations 478 Managed Configurations 479 Deployment Scenarios 486 Mobile Device Security Considerations 487 Security Considerations for Technologies, Protocols, and Sectors 495 Embedded Technologies 495 ICS/Supervisory Control and Data Acquisition 496 Protocols 498 Sectors 499 Summary 500 Exam Essentials 500 Review Questions 501 Appendix Answers to Review Questions 505 Chapter 1: Risk Management 506 Chapter 2: Configure and Implement Endpoint Security Controls 507 Chapter 3: Security Operations Scenarios 509 Chapter 4: Security Ops: Vulnerability Assessments and Operational Risk 511 Chapter 5: Compliance and Vendor Risk 513 Chapter 6: Cryptography and PKI 514 Chapter 7: Incident Response and Forensics 516 Chapter 8: Security Architecture 519 Chapter 9: Secure Cloud and Virtualization 522 Chapter 10: Mobility and Emerging Technologies 524 Index 529

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Book SynopsisMODELING and OPTIMIZATION of OPTICAL COMMUNICATION NETWORKS Optical networks are an integral part of many of the technologies that we use every day. It is a constantly changing and evolving area, with new materials, processes, and applications coming online almost daily. This book provides a basis for discussing open principles, methods and research problems in the modeling of optical communication networks. It also provides a systematic overview of the state-of-the-art research efforts and potential research directions dealing with optical communication metworks. It also simultaneously focuses on extending the limits of currently used systems encompassing optical and wireless domains and explores novel research on wireless and optical techniques and systems, describing practical implementation activities, results and issues. A handbook on applications for both academia and industry, this exciting new volume includes detailed discussions on real-world case studTable of ContentsPreface xv 1 Investigation on Optical Sensors for Heart Rate Monitoring 1V. Vijeya Kaveri, V. Meenakshi, N. Kousika and A. Pushpalatha 1.1 Introduction 2 1.2 Overview of PPG 2 1.2.1 PPG Waveform 2 1.2.2 Photoplethysmography Waveforms Based on the Origin of Optical Concern 2 1.2.3 Photoplethysmography’s Early on and Modern Records 3 1.2.4 Building Blocks of Photoplethysmography 4 1.2.5 Protocol Measurement and Reproducibility 6 1.3 Clinical Application – Heart Rate Monitoring 7 1.4 Summary 8 References 8 2 Adopting a Fusion Approach for Optical Amplification 11E. Francy Irudaya Rani, T. Lurthu Pushparaj and E. Fantin Irudaya Raj 2.1 Introduction 12 2.2 The Mechanism Involved 13 2.3 Types of Amplifier 14 2.3.1 Semiconductor Optical Amplifiers 14 2.3.1.1 Various Phases and Progress of SOA 15 2.3.2 Fiber Raman Amplifiers 16 2.3.3 Fiber Brillouin Amplifiers 17 2.3.4 Doped-Fiber Amplifiers 17 2.4 Hybrid Optical Amplifiers 19 2.4.1 EDFA and SOA Hybrid 21 2.4.2 EDFA and FRA Hybrid 21 2.4.3 RFA and SOA Hybrid 22 2.4.4 Combination of EYDWA as well as SOA 23 2.4.5 EDFA–EYCDFA Hybrid 23 2.4.6 TDFA Along with RFA Hybrid 23 2.4.7 EDFA and TDFA Hybrid 23 2.5 Applications 24 2.5.1 Telecom Infrastructure Optical Power Amplifier 26 2.6 Current Scenario 27 2.7 Discussion 28 2.8 Conclusions 30 References 30 3 Optical Sensors 35M. Shanthi, R. Niraimathi, V. Chamundeeswari and Mahaboob Subahani Akbarali 3.1 Introduction 35 3.2 Glass Fibers 36 3.3 Plastic Fibers 37 3.4 Optical Fiber Sensors Advantages Over Traditional Sensors 37 3.5 Fiber Optic Sensor Principles 38 3.6 Classification of Fiber Optic Sensors 38 3.6.1 Intrinsic Fiber Optic Sensor 39 3.6.2 Extrinsic Fiber Optic Sensor 39 3.6.3 Intensity-Modulated Sensors 40 3.6.3.1 Intensity Type Fiber Optic Sensor Using Evanescent Wave Coupling 41 3.6.3.2 Intensity Type Fiber Optic Sensor Using Microbend Sensor 41 3.6.4 Phase Modulated Fiber Optic Sensors 42 3.6.4.1 Fiber Optic Gyroscope 43 3.6.4.2 Fiber-Optic Current Sensor 43 3.6.5 Polarization Modulated Fiber Optic Sensors 43 3.6.6 Physical Sensor 44 3.6.6.1 Temperature Sensors 44 3.6.6.2 Proximity Sensor 45 3.6.6.3 Depth/Pressure Sensor 45 3.6.7 Chemical Sensor 45 3.6.8 Bio-Medical Sensor 46 3.7 Optical Fiber Sensing Applications 49 3.7.1 Application in the Medicinal Field 50 3.7.2 Application in the Agriculture Field 50 3.7.3 Application in Civil Infrastructure 50 3.8 Conclusion 51 References 51 4 Defective and Failure Sensor Detection and Removal in a Wireless Sensor Network 53Prasannavenkatesan Theerthagiri 4.1 Introduction 53 4.2 Related Works 55 4.3 Proposed Detection and Elimination Approach 56 4.3.1 Scanning Algorithm for Cut Tracking (SCT) 63 4.3.2 Eliminate Faulty Sensor Algorithm (EFS) 64 4.4 Results and Discussion 66 4.5 Performance Evaluation 68 4.6 Conclusion 70 References 71 5 Optical Fiber and Prime Optical Devices for Optical Communication 75Srividya P. 5.1 Introduction 76 5.2 Optic Fiber Systems Development 77 5.3 Optical Fiber Transmission Link 77 5.4 Optical Sources Suited for Optical Fiber Communication 79 5.5 LED as Optical Source 80 5.6 Laser as Light Source 84 5.7 Optical Fiber 86 5.8 Fiber Materials 89 5.9 Benefits of Optical Fiber 90 5.10 Drawbacks of Optical Fiber 90 5.11 Recent Advancements in Fiber Technology 90 5.12 Photodetector 92 5.13 Future of Optical Fiber Communication 95 5.14 Applications of Optical Fibers in the Industry 96 5.15 Conclusion 97 References 97 6 Evaluation of Lower Layer Parameters in Body Area Networks 99Abhilash Hedge and Durga Prasad 6.1 Introduction 100 6.2 Problem Definition 101 6.3 Baseline MAC in IEEE 802.15.6 102 6.4 Ultra Wideband (UWB) PHY 103 6.5 Castalia 103 6.5.1 Features 103 6.6 Methodology 105 6.6.1 Simulation Method in Castalia 105 6.6.2 Hardware Methodology 105 6.7 Results and Discussion 106 6.8 Hardware Setup Using Bluetooth Module 118 6.9 Hardware Setup Using ESP 12-E 118 6.10 Conclusions 122 References 122 7 Analyzing a Microstrip Antenna Sensor Design for Achieving Biocompatibity 125Sonam Gour, Abha Sharma and Amit Rathi 7.1 Introduction 125 7.2 Designing of Biomedical Antenna 126 7.3 Sensing Device for Biomedical Application 128 7.4 Conclusion 133 References 133 8 Photonic Crystal Based Routers for All Optical Communication Networks 137T. Sridarshini, Shanmuga Sundar Dhanabalan, V.R. Balaji, A. Manjula, S. Indira Gandhi and A. Sivanantha Raja 8.1 Introduction 138 8.2 Photonic Crystals 140 8.2.1 1D Photonic Crystals 140 8.2.2 2D Photonic Crystals 141 8.2.3 3D Photonic Crystals 142 8.2.4 Photonic Bandgap 142 8.2.5 Applications 144 8.3 Routers 145 8.4 Micro Ring Resonators 145 8.5 Optical Routers 147 8.5.1 Routers Based on PCRR 147 8.5.2 N x N Router Structures 149 8.5.2.1 3 x 3 Router 150 8.5.2.2 4 x 4 Router 151 8.5.2.3 6 x 6 Router 154 8.5.3 Routers Based on PC Line Defect 157 8.6 Summary 159 References 160 9 Fiber Optic Communication: Evolution, Technology, Recent Developments, and Future Trends 163Dankan G. Veeranna, M. Nagabushanam, Sridhara S. Boraiah, Ramesha Muniyappa and Devananda S. Narayanappa 9.1 Introduction 164 9.2 Basic Principles 167 9.3 Future Trends in Fiber Optics Communication 171 9.4 Advantages 174 9.5 Conclusion 176 References 177 10 Difficulties of Fiber Optic Setup and Maintenance in a Developing Nation 179Dankan G. Veeranna, M. Nagabushanam, Sridhara S. Boraiah, Ramesha Muniyappa and Devananda S. Narayanappa 10.1 Introduction 180 10.2 Related Works 181 10.3 Fiber Optic Cable 182 10.3.1 Single-Mode Cable 182 10.3.2 Multimode Cable 183 10.3.2.1 Step-Index Multimode Fiber 183 10.3.2.2 Graded-Index Multimode Fiber 183 10.3.3 Deployed Fiber Optics Cable 184 10.4 Fiber Optics Cable Deployment Strategies 184 10.4.1 Aerial Installation 184 10.4.2 Underground Installation 185 10.4.2.1 Direct-Buried 185 10.4.2.2 Installation in Duct 185 10.5 Deployment of Fiber Optics Throughout the World 186 10.5.1 Fiber Optics Deployment in India 187 10.5.2 Submarine Fiber Optic in India 187 10.5.3 Installation of Fiber Optic Cable in the Inland 188 10.6 Fiber Deployment Challenges 188 10.6.1 Deploying Fiber has a Number of Technical Difficulties 188 10.6.2 Right of Way 189 10.6.3 Administrative Challenges 189 10.6.4 Post-Fiber Deployment Management 190 10.6.5 Fiber Optic Cable Deployment and Management Standards and Best Practices 191 10.7 Conclusion 191 References 191 11 Machine Learning-Enabled Flexible Optical Transport Networks 193Sridhar Iyer, Rahul Jashvantbhai Pandya, N. Jeyakkannan and C. Karthik 11.1 Introduction 194 11.2 Review of SDM-EON Physical Models 198 11.2.1 Optical Fibers for SDM-EON 198 11.2.2 Switching Techniques for SDM-EON 200 11.3 Review of SDM-EON Resource Assignment Techniques 205 11.4 Research Challenges in SDM-EONs 209 11.5 Conclusion 210 References 211 12 Role of Wavelength Division Multiplexing in Optical Communication 217P. Gunasekaran, A. Azhagu Jaisudhan Pazhani, A. Rameshbabu and B. Kannan 12.1 Introduction 218 12.2 Modules of an Optical Communication System 219 12.2.1 How a Fiber Optic Communication Works? 220 12.2.2 Codes of Fiber Optic Communication System 220 12.2.2.1 Dense Light Source 221 12.2.2.2 Low Loss Optical Fiber 221 12.2.3 Photo Detectors 223 12.3 Wavelength-Division Multiplexing (WDM) 223 12.3.1 Transceivers – Transmitting Data as Light 224 12.3.2 Multiplexers Enhancing the Use of Fiber Channels 225 12.3.3 Categories of WDM 225 12.4 Modulation Formats in WDM Systems 226 12.4.1 Optical Modulator 227 12.4.1.1 Direct Modulation 227 12.4.1.2 External Modulation 227 12.4.2 Modulation Formats 228 12.4.2.1 Non Return to Zero (NRZ) 229 12.4.2.2 Return to Zero (RZ) 230 12.4.2.3 Chirped RZ (CRZ) 231 12.4.2.4 Carrier Suppressed RZ (CSRZ) 232 12.4.2.5 Differential Phase Shift Key (DPSK) 232 12.4.3 Uses of Wavelength Division Multiplexing 233 References 233 13 Optical Ultra-Sensitive Nanoscale Biosensor Design for Water Analysis 235Shaikh Afzal and Manju Devi 13.1 Introduction 236 13.2 Related Work or Literature Survey 237 13.2.1 B. Cereus Spores’ Study for Water Quality 237 13.2.2 History Use of Optical Property for Biosensing 238 13.2.3 Photonic Crystal 239 13.3 Tools and Techniques 240 13.3.1 Opti FDTD 240 13.3.2 EM Wave Equation 240 13.3.3 Optical Ring Resonator 241 13.3.4 Output Power Computation 242 13.4 Proposed Design 243 13.4.1 Circular Resonator PHC Biosensor 243 13.4.2 Triangular Structure PHC Biosensor 244 13.5 Simulation 244 13.6 Result and Analysis 244 13.7 Conclusion and Future Scope 248 References 249 14 A Study on Connected Cars–V2V Communication 251Chandra Singh, Sachin C. N. Shetty, Manjunatha Badiger and Nischitha 14.1 Introduction 251 14.2 Literature Survey 252 14.3 Software Description 255 14.4 Methodology 256 14.5 Working 257 14.6 Advantages and Applications 263 14.7 Conclusion and Future Scope 263 Future Scope 264 References 264 15 Broadband Wireless Network Era in Wireless Communication – Routing Theory and Practices 267R. Prabha, G. A. Senthil, S. K. B. Sangeetha, S.U. Suganthi and D. Roopa 15.1 Introduction 268 15.2 Outline of Broadband Wireless Networking 270 15.2.1 Type of Broadband Wireless Networks 270 15.2.1.1 Fixed Networks 270 15.2.1.2 The Broadband Mobile Wireless Networks 271 15.2.2 BWN Network Structure 272 15.2.3 Wireless Broadband Applications 273 15.2.4 Promising Approaches Beyond BWN 273 15.3 Routing Mechanisms 274 15.4 Security Issues and Mechanisms in BWN 276 15.4.1 DoS Attack 276 15.4.2 Distributed Flooding DoS 277 15.4.3 Rogue and Selfish Backbone Devices 277 15.4.4 Authorization Flooding on Backbone Devices 277 15.4.5 Node Deprivation Attack 278 15.5 Conclusion 278 References 278 16 Recent Trends in Optical Communication, Challenges and Opportunities 281S. Kannadhasan and R. Nagarajan 16.1 Introduction 281 16.2 Optical Fiber Communication 284 16.3 Applications of Optical Communication 286 16.4 Various Sectors of Optical Communication 291 16.5 Conclusion 301 References 302 17 Photonic Communication Systems and Networks 303Naitik S.T., J.V. Gorabal, Shailesh Shetty, Srinivas P.M. and Girish S. 17.1 Introduction 304 17.2 History of LiFi 305 17.3 LiFi Standards 306 17.4 Related Work 308 17.5 Methodology 324 17.6 Proposed Model 325 17.7 Experiment and Results 326 17.8 Applications 326 17.9 Conclusion 328 Acknowledgment 328 References 328 18 RSA-Based Encryption Approach for Preserving Confidentiality Against Factorization Attacks 331Raghunandan K. R. 18.1 Introduction 331 18.2 Related Work 333 18.3 Mathematical Preliminary 335 18.4 Proposed System 337 18.5 Performance Analysis 339 18.6 Conclusion 345 References 346 19 Sailfish Optimizer Algorithm (SFO) for Optimized Clustering in Internet of Things (IoT) Related to the Healthcare Industry 349Battina Srinuvasu Kumar, S.G. Santhi and S. Narayana 19.1 Introduction 350 19.2 Related Works 351 19.3 Proposed Method 352 19.4 System Model 353 19.5 Energy Model 353 19.6 Cluster Formation Using SFO 354 19.7 Results and Discussion 357 19.8 Conclusions 361 References 362 20 Li-Fi Technology and Its Applications 365Sumiksha Shetty, Smitha A.B. and Roshan Rai 20.1 Introduction 365 20.2 Technology Portrayal 367 20.2.1 Li-Fi Modulation Methods 367 20.3 Distinctive Modulation of Li-Fi 369 20.4 Antiquity of Improvements and Li-Fi Innovation 370 20.5 Li-Fi Technology and Its Advantages 371 20.5.1 Free Spectrum 371 20.5.2 Efficiency 371 20.5.3 Accessibility 372 20.5.4 Complexity 372 20.5.5 Security 372 20.5.6 Safety 372 20.5.7 No Fading 373 20.5.8 Cost-Effective 373 20.6 Confines of Li-Fi Innovation 373 20.6.1 Obstructions 374 20.6.2 High Path Forfeiture 374 20.6.3 Uplink Problems 374 20.6.4 NLOS Problems 374 20.7 Application of Li-Fi Technology 375 20.7.1 Spaces wherein Exploiting of RF would be Controlled 375 20.7.1.1 Hospitals 375 20.7.1.2 Airplanes 375 20.7.1.3 Sensitive Floras 375 20.7.2 Traffic Flow Management 376 20.7.3 Submerged Applications 376 20.7.4 Outdoor Permission to the Cyberspace 376 20.7.5 Educational Tenacities 377 20.7.6 Amalgamation of Wi-Fi vs. Li-Fi 377 20.7.7 Optical Attocell 377 20.7.8 Multiple User Permission 378 References 379 21 Smart Emergency Assistance Using Optics 381Chandra Singh, Sachin C. N. Shetty, Manjunatha Badiger and Nischitha 21.1 Introduction 381 21.2 Literature Survey 382 21.3 Methodology 385 21.3.1 Block Diagram Description 386 21.3.2 Concept and Overview 387 21.4 Design and Implementation 388 21.5 Results & Discussion 393 21.6 Conclusion 394 References 394 About the Editors 397 Index 399

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Book SynopsisThe ideal prep guide for earning your CCST Cybersecurity certification CCST Cisco Certified Support Technician Study Guide: Cybersecurity Exam is the perfect way to study for your certification as you prepare to start or upskill your IT career. Written by industry expert and Cisco guru Todd Lammle, this Sybex Study Guide uses the trusted Sybex approach, providing 100% coverage of CCST Cybersecurity exam objectives. You'll find detailed information and examples for must-know Cisco cybersecurity topics, as well as practical insights drawn from real-world scenarios. This study guide provides authoritative coverage of key exam topics, including essential security principles, basic network security concepts, endpoint security concepts, vulnerability assessment and risk management, and incident handling. You also get one year of FREE access to a robust set of online learning tools, including a test bank with hundreds of questions, a practice exam, a set of flashcards,

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a huge range and FREE tracked UK delivery on ALL orders.

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Book Synopsis

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Book SynopsisAs the best-selling book ever written about the Junos operating system, the second edition of Junos Enterprise Routing has been updated to serve as the go-to study guide for Juniper Networks enterprise routing certification exams.

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Book SynopsisThis book presents insights, interpretations, concepts, and interdependent viewsin the landscape of mobile connectivity and servicethat emphasize the significance of a harmonious interplay, cooperation, and coalescing of a variety of interdisciplinary domains of science and art.Mobile Evolution: Insights on Connectivity and Service explores the forward-looking and enabling capabilities of mobile connectivity and service in the context of long term evolution (LTE) systems and multimedia services, as viewed through a lens of human experience. It provides information and guidelines pertaining to the strategies and technologies associated with the next-generation mobile ecosystem.The book examines the intersection between the technology and the human dimension in the context of the ever-changing landscape. It arms you with ideas that you can apply to design, innovation, strategy, and business models for the various facets of mobile communication connectivity and sTable of ContentsGenesis of Personal Communications. Elements of Standardization. Connectivity. Service. Interdependence: Renaissance of Multifaceted Convergence

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Book SynopsisThe expectations of citizens in delivery of services by government institutions have increased over the last decade. Although, governments all over the world are involved in transforming methodologies and processes to satisfy their stakeholders, still there are problems which are causing distress and waste of valuable resources. ""Integrating E-Business Models for Government Solutions: Citizen-Centric Service Oriented Methodologies and Processes"" provides a unique collection of essential tools and alternative e-business strategies that can be incorporated into e-government solutions. The goal is to help in evolving effective methodologies and processes and consequently provide cost effective and citizen-centric services. Useful to scholars, researchers, and academic institutions, this book will enable readers to examine current issues and promote research initiatives to improve service delivery in e-government.Table of ContentsCitizen-centric services for government; Citizens e-readiness; Collaborative e-government networks; CRM in e-government; Electronic government website usability; E-participation in local government decision making; Government transformation; Integrated e-business models for government solutions; Integrated service delivery; Interoperability in e-government; Knowledge management security requirements for e-government; Organizationally enabled e-government enterprise architecture; Security aware development of e-government systems; Service oriented methodologies and processes"".

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Book SynopsisA number of different system concepts have become apparent in the broader context of embedded systems over the past few years. Whilst there are some differences between these, this book argues that in fact there is much they share in common, particularly the important notions of control, heterogenity, wireless communication, dynamics/ad hoc nature and cost. The first part of the book covers cooperating object applications and the currently available application scenarios, such as control and automation, healthcare, and security and surveillance. The second part discusses paradigms for algorithms and interactions. The third part covers various types of vertical system functions, including data aggregation, resource management and time synchronization. The fourth part outlines system architecture and programming models, outlining all currently available architectural models and middleware approaches that can be used to abstract the complexity of cooperating object technology. Finally, the book concludes with a discussion of the trends guiding current research and gives suggestions as to possible future developments and how various shortcomings in the technology can be overcome.Table of ContentsChapter 1. An Introduction to the Concept of Cooperating Objects and Sensor Networks 13 Anibal OLLERO, Adam WOLISZ and Michel BANATRE 1.1. Cooperating objects and wireless sensor networks 13 1.2. Embedded WiSeNts 16 1.3. Overview of the book 17 Chapter 2. Applications and Application Scenarios 25 S£¬ebnem BAYDERE, Erdal CAYIRCI, I¨Bsa HACIOG¡¦ LU, Onur ERGIN, Anibal OLLERO, IvanMAZA, Antidio VIGURIA, Phillipe BONNET and Maria LIJDING 2.1. Summary 25 2.2. Introduction 25 2.3. Characteristics and requirements of applications 27 2.4. State of the art projects 30 2.5. Taxonomy of CO applications 51 2.5.1.Control andAutomation (CA) 52 2.5.2. Home and Office (HO) 53 2.5.3. Logistics (L) 54 2.5.4.Transportation (TA) 56 2.5.5. Environmental monitoring for emergency services (EM) 58 2.5.6. Healthcare (H) 60 2.5.7. Security and Surveillance (SS) 63 2.5.8. Tourism (T) 65 2.5.9. Education and Training (ET) 66 2.6. Scenario description structure 68 2.7. Application scenarios 72 2.7.1. Forest fire detection scenario 73 2.7.1.1. Introduction 73 2.7.1.2. Scenario characteristics 74 2.7.1.3. Functional specification 75 2.7.1.4. Object decomposition 76 2.7.1.5. Step-by-step scenario description 77 2.7.1.6. System requirements 78 2.7.2. GoodFood 80 2.7.2.1. Introduction 80 2.7.2.2. Scenario characteristics 81 2.7.2.3. User requirements 81 2.7.2.4. Functional specification 82 2.7.2.5. Object decomposition 82 2.7.2.6. Step-by-step scenario description 83 2.7.2.7. System requirements 85 2.7.3. CORTEX’s Car Control 88 2.7.3.1. Introduction 88 2.7.3.2. Scenario characteristics 89 2.7.3.3. User requirements 89 2.7.3.4. Functional specification 89 2.7.3.5. Object decomposition 89 2.7.3.6. Step-by-step scenario description 90 2.7.3.7. System requirements 91 2.7.4. Hogthrob 92 2.7.4.1. Introduction 92 2.7.4.2. Scenario characteristics 93 2.7.4.3. User requirements 93 2.7.4.4. Functional specification 93 2.7.4.5. Object decomposition 94 2.7.4.6. Step-by-step scenario description 95 2.7.5. Smart surroundings 95 2.7.5.1. Introduction 95 2.7.5.2. Scenario characteristics 96 2.7.5.3. System requirements 100 2.7.6. Sustainable bridges 102 2.7.6.1. Introduction 102 2.7.6.2. Application characteristics 102 2.7.6.3. System requirements 103 2.7.6.4. Functional specification 105 2.7.6.5. Object decomposition 106 2.8. Conclusions 107 2.9. List of abbreviations 109 2.10. Bibliography 110 Chapter 3. Paradigms for Algorithms and Interactions 115 Andrea ZANELLA, Michele ZORZI, Elena FASOLO, Anibal OLLERO, Ivan MAZA, Antidio VIGURIA, Marcelo PIAS, George COULOURIS and Chiara PETRIOLI 3.1. Summary 115 3.2. Introduction 115 3.2.1. Aim of the chapter 115 3.2.2. Organization of the chapter 116 3.3. Definition of concepts 118 3.4. Wireless sensor networks for environmental monitoring 119 3.4.1. Application scenarios 120 3.4.2. Peculiarities of WSNs 121 3.4.3. Medium Access Control 123 3.4.3.1. Random Access Protocols 124 3.4.3.2. Deterministic access protocols 131 3.4.4. Routing and forwarding algorithms 133 3.4.4.1. Location-based routing 137 3.4.4.2. Data-centric routing 141 3.4.4.3. Hierarchical-based routing 145 3.4.5. Sensor data aggregation 149 3.4.6. Clustering and backbone formation 151 3.4.6.1. Clustering for ad hoc networks 151 3.4.6.2. Clustering for WSNs 153 3.4.7. Localization in ad hoc and WSNs 155 3.4.7.1. Range-free localization 155 3.4.7.2. Range-based localization 157 3.5. Wireless sensor networks with mobile nodes 160 3.5.1. Introduction 160 3.5.2. Types of mobile nodes and networks 162 3.5.3. Static sensor networks with mobile nodes 162 3.5.3.1. Nodes with uncontrolled and non-predictable motion 163 3.5.3.2. Nodes with controlled or predictable motion 164 3.5.4. WSNs with autonomous mobile nodes 166 3.5.5. Algorithms 168 3.5.5.1. Localization algorithms 168 3.5.5.2.Coverage algorithms 169 3.5.5.3. MACalgorithms 169 3.5.5.4. Routing algorithms 170 3.5.5.5. Mobile nodes planning algorithms 171 3.5.5.6. Mobile nodes reactive algorithms 173 3.5.5.7. Network repairing algorithm 174 3.5.6. Critical issues and future research 175 3.6. Autonomous robotic teams for surveillance and monitoring 176 3.6.1. Introduction 176 3.6.2. A taxonomy of multi-robot systems 177 3.6.3. Paradigms for coordination and cooperation 181 3.6.3.1. Paradigms in the architecture of multi-robot systems 182 3.6.3.2. Centralized/decentralized architecture 183 3.6.3.3. Communication between components 184 3.6.3.4. Path planning for multiple robot systems 185 3.6.4. Robots using WSNs 186 3.6.5. Algorithms for navigation of autonomous robots using WSNs 187 3.6.5.1. Potential field guiding algorithm 187 3.6.5.2. Path computation and following algorithm 188 3.6.5.3. Probabilistic navigation 190 3.6.6. Critical issues and future trends 192 3.7. Inter-vehicle communication networks 193 3.7.1. Road-vehicle communication (RVC) 193 3.7.2. Inter-vehicle communication (IVC) 194 3.7.3. Communication scenario 194 3.7.4. IVN applications 195 3.7.4.1. Safety 195 3.7.4.2. Traffic management 196 3.7.4.3. Environmental protection 197 3.7.4.4. Traffic and vehicle information for billing 197 3.7.4.5. Data communication using delay-tolerant networks 198 3.7.4.6. Added-value services 198 3.7.4.7. Important aspects 199 3.7.5. MAC layer 200 3.7.5.1. Wireless LAN 201 3.7.5.2. Cellular networks 201 3.7.5.3. Approaches 203 3.7.6. Routing 207 3.7.6.1. Traditional MANET protocols 207 3.7.6.2. Location-based routing 208 3.7.7. Multicast networking in the context of wireless inter-vehicle and road networks 210 3.7.7.1. Multicast addressing and delivery 210 3.7.7.2. Multicast routing 211 3.7.7.3. Geocasting 211 3.7.7.4. Flooding-based geocasting 212 3.7.7.5. Routing without flooding 213 3.7.7.6. Summary of simulation results 214 3.7.8. Time synchronization 214 3.7.9. Simulations: more real-life models 215 3.8. Classification of the concepts 215 3.8.1. Classification of the thematic areas 216 3.8.1.1. Wireless sensor networks for environmental monitoring (WSNEMs) 216 3.8.1.2. Wireless sensor networks with mobile node (WSNMNs) 217 3.8.1.3. Autonomous Robotics Team (ART) 219 3.8.1.4. Inter-Vehicular Networks (IVN) 220 3.8.2. Classification of the algorithms 222 3.8.2.1. MAC algorithms . 222 3.8.2.2. Routing algorithms 225 3.8.2.3. Localization algorithms 228 3.8.2.4. Data processing 231 3.8.2.5. Navigation algorithms 233 3.8.2.6. Timetable of the literature on the subject 235 3.9. Critical issues and research gaps 235 3.9.1. Gaps with general scope 235 3.9.2. Gaps in WSNs 237 3.9.3. Gaps in wireless sensor networks with mobile nodes 238 3.9.4. Gaps in autonomous robotics team 238 3.9.5. Gaps in inter-vehicular networks 239 3.10. Conclusions 239 3.11. Bibliography 241 Chapter 4. Vertical System Functions 259 Marcelo PIAS, George COULOURIS, Pedro Jose MARRON, Daniel MINDER, Nirvana MERATNIA, Maria LIJDING, Paul HAVINGA, £¬Sebnem BAYDERE, Erdal CAYIRCI and Chiara PETRIOLI 4.1. Summary 259 4.2. Introduction 259 4.3. Vertical System Function (VF) 261 4.4. Types of vertical system functions 263 4.4.1. Context and location management 266 4.4.1.1. Context management 267 4.4.1.2. Context-aware applications 268 4.4.1.3. Location management 269 4.4.2. Data consistency 270 4.4.2.1. Consistency handling mechanisms (operation of WSN) 270 4.4.2.2. Consistency handling mechanisms (data processing) 271 4.4.2.3. Consistency handling mechanisms (application programming) 275 4.4.3. Communication functionality 275 4.4.4. Security, privacy and trust 277 4.4.4.1. Resource protection 277 4.4.4.2. Encryption 278 4.4.4.3. Secrecy 279 4.4.4.4. Privacy 280 4.4.4.5. Data integrity 280 4.4.4.6. Trust 280 4.4.4.7. Protocols 281 4.4.5. Distributed storage and data search 281 4.4.5.1. Data dissemination 283 4.4.5.2. Query processing and resolution 287 4.4.6. Data aggregation 298 4.4.6.1. Types of aggregation 300 4.4.6.2. Selection of the best aggregation points 301 4.4.7. Resource management 304 4.4.7.1. Design challenges 304 4.4.7.2. Adaptation in resource management 305 4.4.7.3. Adaptation and enabling technologies 306 4.4.7.4. Adaptation frameworks 309 4.4.7.5. Adaptation categorization and its parameters 315 4.4.7.6. Future direction of adaptivity in WSN 317 4.4.8. Time synchronization 317 4.5. Summary and conclusions 321 4.5.1. Context and location management 321 4.5.2. Data consistency and adaptivity in WSNs 324 4.5.3. Communication functionality 326 4.5.4. Security, privacy and trust 327 4.5.5. Distributed storage and data search 329 4.5.6. Resource management 332 4.5.7. Time synchronization 334 4.6. Bibliography 336 Chapter 5. System Architectures and Programming Models 347 S. SANTINI, K. ROEMER, P. COUDERC, P. MARRON, D. MINDER, T. VOIGT and A. VITALETTI 5.1. Summary 347 5.2. Introduction 348 5.3. Programming models 349 5.3.1. Requirements 349 5.3.2. State of the art 353 5.3.2.1. Database view 354 5.3.2.2. Event detection 356 5.3.2.3. Virtual markets 358 5.3.2.4. Virtual machines 359 5.3.2.5. Mobile code and mobile agents 360 5.3.2.6. Role-based abstractions 362 5.3.2.7. Group-based approach 364 5.3.2.8. Spatial programming 365 5.3.2.9. Shared information space 365 5.3.2.10. Other approaches 366 5.3.3. Summary and evaluation 366 5.4. System architectures 369 5.4.1. System architectures: node internals 369 5.4.1.1. Data-centric and service-centric approach 370 5.4.1.2. Operating systems 370 5.4.1.3. Virtual machines 379 5.4.1.4. Data management middleware 383 5.4.1.5. Adaptive system software 387 5.4.1.6. Summary and evaluation 389 5.4.2. System architecture: interaction of nodes 390 5.4.2.1. Introduction 390 5.4.2.2. Communication models 391 5.4.2.3. Network dynamics 392 5.4.3. Architectures and functionalities summary 394 5.5. Conclusions and future work 396 5.5.1. Programming models 396 5.5.2. Node internals 397 5.6. Bibliography 399 Chapter 6. Cooperating Objects Roadmap and Conclusions 405 Pedro Jose MARRON, Daniel MINDER and the Embedded WiSeNts Consortium 6.1. Intended audience 406 6.2. Methodology and structure 406 6.3. Executive summary 407 6.4.Research gaps and timeline 408 6.5. Potential roadblocks 409 6.6. Recommendations 410 6.7. Summary and final conclusions 411 List of Authors 413 Index 417

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Book SynopsisThe two-volume set LNCS 11442 and 11443 constitutes the refereed proceedings of the 22nd IACR International Conference on the Practice and Theory of Public-Key Cryptography, PKC 2019, held in Beijing, China, in April 2019. The 42 revised papers presented were carefully reviewed and selected from 173 submissions. They are organized in topical sections such as: Cryptographic Protocols; Digital Signatures; Zero-Knowledge; Identity-Based Encryption; Fundamental Primitives; Public Key Encryptions; Functional Encryption; Obfuscation Based Cryptography; Re- Encryption Schemes; Post Quantum Cryptography.​Table of ContentsCryptographic Protocols.- Digital Signatures.- Zero-Knowledge.- Identity-Based Encryption.- Fundamental Primitives.- Public Key Encryptions.- Functional Encryption.-Obfuscation Based Cryptography.- Re- Encryption Schemes.- Post Quantum Cryptography.

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Book SynopsisA unique feature of this open access textbook is to provide a comprehensive introduction to the fundamental knowledge in embedded systems, with applications in cyber-physical systems and the Internet of things. It starts with an introduction to the field and a survey of specification models and languages for embedded and cyber-physical systems. It provides a brief overview of hardware devices used for such systems and presents the essentials of system software for embedded systems, including real-time operating systems. The author also discusses evaluation and validation techniques for embedded systems and provides an overview of techniques for mapping applications to execution platforms, including multi-core platforms. Embedded systems have to operate under tight constraints and, hence, the book also contains a selected set of optimization techniques, including software optimization techniques. The book closes with a brief survey on testing. This fourth edition has been updated and revised to reflect new trends and technologies, such as the importance of cyber-physical systems (CPS) and the Internet of things (IoT), the evolution of single-core processors to multi-core processors, and the increased importance of energy efficiency and thermal issues.Table of ContentsChapter 1. Introduction.- Chapter 2. Specifications and Modeling.- Chapter 3. Embedded System Hardware.- Chapter 4. System Software.- Chapter 5. Evaluation and Validation.- Chapter 6. Application Mapping.- Chapter 7. Optimization.- Chapter 8. Test.

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Book SynopsisThis book constitutes the refereed proceedings of the 13th International Conference on Computer Vision Systems, ICVS 2021, held in September 2021. Due to COVID-19 pandemic the conference was held virtually. The 20 papers presented were carefully reviewed and selected from 29 submissions. cover a broad spectrum of issues falling under the wider scope of computer vision in real-world applications, including among others, vision systems for robotics, autonomous vehicles, agriculture and medicine. In this volume, the papers are organized into the sections: attention systems; classification and detection; semantic interpretation; video and motion analysis; computer vision systems in agriculture.Table of ContentsAttention Systems.- Thermal Image Super-Resolution Using Second-Order Channel Attention with Varying Receptive Fields.- MARL: Multimodal Attentional Representation Learning for Disease Prediction.- Object Localization with Attribute Preference based on Top-Down Attention.- See the silence: improving visual-only voice activity detection by optical flow and RGB fusion.- Classification and Detection.- Score to Learn: a Comparative Analysis of Scoring Functions for Active Learning in Robotics.- Enhancing the performance of image classification through features automatically learned from depth-maps.- Object Detection on TPU Accelerated Embedded Devices.- Tackling Inter-Class Similarity and Intra-Class Variance for Microscopic Image-based Classification.- Semantic Interpretation.- Measuring the Sim2Real gap in 3D Object classification for different 3D data representation.- Spatially-Constrained Semantic Segmentation with Topological Μaps and Visual Εmbeddings.- Knowledge-enabled generation of semantically annotated image sequences of manipulation activities from VR demonstrations.- Make It Easier: An Empirical Simplification of a Deep 3D Segmentation Network for Human Body Parts.- Video and Motion Analysis.- Video Popularity Prediction through Fusing Early Viewership with Video Content.- Action Prediction during Human-Object Interaction based on DTW and Early Fusion of Human and Object Representations.- GridTrack: Detection and Tracking of Multiple Objects in Dynamic Occupancy Grids.- An Efficient Video Desnowing and Deraining Method with a Novel Variant Dataset.- Computer Vision Systems in Agriculture.- Robust Counting of Soft Fruit through Occlusions with Re-identification.- Non-destructive Soft Fruit Mass and Volume Estimation for Phenotyping in Horticulture.- Learning Image-based Contaminant Detection in Wool Fleece from Noisy Annotations.- Active Learning for Crop-Weed Discrimination by Image Classification from Convolutional Neural Network’s Feature Pyramid Levels.

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Book SynopsisThis book constitutes the proceedings of the 19th IFIP WG 10.3 International Conference on Network and Parallel Computing, NPC 2022, which was held in Jinan, China, during September 24-25, 2022. The 23 full papers and 8 short papers presented in this volume were carefully reviewed and selected from 89 submissions. They were organized in topical sections as follows: computer architecture; cloud computing; deep learning; emerging applications; and storage and IO.Table of ContentsComputer architecture.- Cloud computing.- Deep learning.- Emerging applications.- Storage and IO.

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Book SynopsisThis book constitutes thoroughly refereed and revised selected papers from the 10th Iberoamerican Conference on Applications and Usability of Interactive TV, jAUTI 2021, held in Sangolqui, Ecuador, during December 2–3, 2021.The 9 full papers included in this book were carefully reviewed and selected from 25 submissions. They were organized in topical sections as follows: ​Usability and UX; interaction techniques and accesibility; and technologies, services, and applications for interactive digital TV.Table of Contents​Usability and UX.- The importance of personalization and household dynamics for notifications in the TV ecosystem.- Connect elderly to other generations through iTV: evaluating notifications’ potential.- Interaction techniques and Accesibility.- Real-time emotion recognition through video conference and streaming.- Emotional Meta-Annotation of Educational Videos. A Review of Emotional Database Characterization.- Active and Healthy Aging: The Role of a Proactive Information Assistant Embedded on TV.- Design and development of an assisted ball positioning system for soccer matches with an HBBTV server integrated to a haptic TV glove accessible to visually impaired people.- Technologies, services, and applications for interactive digital TV.- MixMyVisit – Geração automática de vídeos para a melhoria da experiência dos visitantes.- Selection of configurable computer module applied to home automation and interactive digital television.- A Process for gathering data to train the NLU module of a NLI system for iTV.

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Book SynopsisThis book constitutes selected and revised papers presented at the First International Conference on Electronic Governance with Emerging Technologies, EGETC 2022, held in Tampico, Mexico, in September 2022. The 15 full papers and 2 short papers presented were thoroughly reviewed and selected from the 54 submissions. This volume focuses on the recent developmentsin the domain of eGovernment and governance of digital organizations also aims to shed light on the emerging research trends and their applications. Table of ContentsDeep Learning based Obstructive Sleep Apnea Detection for e-health Applications.- Deep Learning and Sign language models based enhanced accessibility of e-governance services for speech and hearing-impaired.- A Blockchain Enabled Trusted Public Distribution Management System using Smart Contract.- Administration of Vaccine mechanism for COVID-19 using Blockchain.- Cyber Security Strategies While Safeguarding Information Systems in Public/Private Sectors.- The spatial relationships of meteorological data for Unmanned Aerial System Decision-Making Support.- HIAS: Hybrid Intelligence Approach for Soil Classification and Recommendation of Crops.- Education 5.0 Maturity Index: Concept and Prospects for Development.- Interpretability of AI systems in electronic governance to improve user trust and acceptance.- An automated stress recognition for digital healthcare: Towards e-governance.-Emergency supply chain management.- Public Budget Simulations with Machine Learning and Synthetic Data: Some Challenges and Lessons from The Mexican Case.- Open data hackathon as a tool for increased engagement of Generation Z: to hack or not to hack?.- Data Visualization Guide for Smart City Technologies.- A D eep Learning-based Mobile Chatbot Model for Crop Farmers.- Urban data: sources and targeted applications for urban planning indicators modelling.- Understanding KlimaDAO use and value: insights from an empirical analysis.

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Book SynopsisThis volume constitutes selected papers presented at the Third International Symposium on Emerging Information Security and Applications, EISA 2022, held in Wuhan, China, in October 2022. Due to COVID-19, EISA 2022 was held fully online.The 13 full papers presented in this volume were thoroughly reviewed and selected from the 35 submissions. They present a discussion on the emerging techniques, theories and applications to enhance information and application security in practice. Table of ContentsAsymmetric Secure Multi-Party Signing Protocol for the Identity-Based Signature Scheme in the IEEE P1363 Standard for Public Key Cryptography.- A Multi-Task Mobile Crowdsensing Scheme with Conditional Privacy Preserving for Vehicle Networks.- Towards Low-Latency Big Data Infrastructure at Sangfor.- Differential Cryptanalysis of Lightweight Block Ciphers SLIM and LCB.- Parallel Validity Analysis of the Boomerang Attack Model.- A Survey on Discrete Gaussian Samplers in Lattice Based Cryptography.- Hierarchical Identity Based Inner Product Functional Encryption for Privacy Preserving Statistical Analysis without q-type assumption.- AutoRoC-DBSCAN: automatic tuning of DBSCAN to detect malicious DNS tunnels.- HBMD-FL:Heterogeneous Federated Learning Algorithm Based On Blockchain and Model Distillation.- Secure and Efficient Certificateless Authentication Key Agreement Protocol in VANET.- An Efficient Federated Convolutional Neural Network Scheme with Differential Privacy.- D2CDIM:DID-based Decentralized Cross-domain Identity Management with Privacy-Preservation and Sybil-Resistance.- Link Aware Aggregation Query with Privacy-preserving Capability in Wireless Sensor Networks.

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Book SynopsisThis book constitutes the refereed post-conference proceedings of the 5th EAI International Conference on Innovations and Interdisciplinary Solutions for Underserved Areas, InterSol 2022, held in Nile University of Nigeria Abuja, Nigeria, in March 2022. The 26 papers presented were selected from 66 submissions and issue different problems in underserved and unserved areas. They face problems in almost all sectors such as energy, water, communication, climate change, food, education, transportation, social development, and economic growth.Table of ContentsSustainable Development for Underserved Areas.- Effects of Noise Pollution on learning in Schools of Bamenda II Municipality, Northwest Region of Cameroon.- Hydro-meteorological Trends and Thermal comfort of Khartoum Sudan.- Community Water Projects Sustainability for Climate Change Resilience and Adaptation in Suam Catchment Area of West Pokot County, Kenya.- The Nigerian HealthCare Facilities: Need for Adopting Evidence-Based Design as an Innovative Approach for Improved Health and Wellbeing.- Artificial Intelligence (AI) and Machine Learning (ML) for Development.- An E-Nose Using Metal Oxide Semiconductor Sensors Array to Recognize the Odors of Fall Armyworm Pest For Its Early Detection in the Farm.- Prediction of process failure approach using process mining.- An AI-based Model for the Prediction of a newborn’s Sickle Cell Disease Status.- Study of an approach based on the analysis of computer program execution traces for the detection of vulnerabilities.- ICT for Development.- Comparative Evaluation on Sentiment Analysis Algorithms.- A new wavelet based steganography method for Securing medical Data.- A dual ring architecture using controllers for better load balancing in a Fog Computing environment.- Recommendation System for Carbon Reduction.- Engineering Impact on Sustainability Development.- Assessment of Heavy Metal Concentration of Municipal open-air Dumpsite: A case study of Gosa Dumpsite, Abuja.- Ten years after the Deepwater Horizon disaster - lessons learned for a better cementing job.- Generating Bioelectricity From Traditional Food Processing Wastewater Using An Inoculum Of Return Activated Sewage Sludge.- Application of molasses in improving water purification efficiency of diatomaceous earth-waste ceramic membranes.- Community Engagements and Collaboration.- The levels of crop raiding by rodents and primates in a subsistence farming community, in South Africa.- Survey on crop disease detection and identification based on deep learning.- Pest Birds Detection Approach in Rice Crops Using Pre-trained YOLOv4 Model.- Pest Birds Detection Approach in Rice Crops Using Pre-trained YOLOv4 Model.- Truncation effect of a three-dimensional compound parabolic concentrator on the solar flux at the input of the receiver of a 30 kWe solar tower power plant.- Renewable Energy Transition: A Panacea to the Ravaging Effects of Climate Change in Nigeria.- Investigation on Concrete with Partial Replacement of Aggregate from Demolition Waste.- Valorization of the recovered lime in cement-typha concretes: thermal and mechanical behavior.- Engineering and Science Education in Underserved Areas.- The Need for Nigerian Universities to Collaborate for Quality Research Output.- SenTekki: online platform and Restful Web service for translation between Wolof and French.- Towards an optimal placement of learning ressources in a fog computing based e-learning system : The case of UVS.

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Book SynopsisThis book constitutes the proceedings of the 9th Latin American Conference on High Performance Computing, CARLA 2022, held in Porto Alegre, Brazil, in September 2022. The 16 full papers presented in this volume were carefully reviewed and selected from 56 submissions.CARLA, the Latin American High Performance Computing Conference, is an international academic meeting aimed at providing a forum to foster the growth and strength of the High Performance Computing (HPC) community in Latin America and the Caribbean through the exchange and dissemination of new ideas, techniques, and research in HPC and its application areas.Table of ContentsA Comparative Evaluation of Parallel Programming Python Tools for Particle-in-cell on Symmetric Multiprocessors.- Accelerating GNN Training on CPU+Multi-FPGA Heterogeneous Platform.- Implementing a GPU-Portable Field Line Tracing Application with OpenMP Offload.- Quantitative Characterization of Scientific Computing Clusters.- Towards parameter-based profiling for MARE2DEM performance modeling.- Time-Power-Energy Balance of BLAS kernels in modern FPGAs.- Improving Boundary Layer Predictions Using Parametric Physics-Aware Neural Networks.- Towards Fire Identification Model in Satellite Images Using HPC Embedded Systems and AI.- A Machine Learning-based Missing Data Imputation with FHIR Interoperability Approach in Sepsis Prediction.- Understanding the Energy Consumption of HPC Scale Artificial Intelligence.- Tracking the COVID-19 Emotional Response in Mexico.- Multi-GPU 3-D Reverse Time Migration with Minimum I/O.- ParslRNA-Seq: an efficient and scalable RNAseq analysis workflow for studies of differentiated gene expression.- Refactoring an electric-market simulation software for massively parallel computations.- Nearly Quantum Computing by Simulation.- Functionality testing in the automation of scientific application workflows in an HPC environment.

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