Cloud computing Books

Book SynopsisAdora Nwodo is a software engineer who develops mixed-reality products at Microsoft. She frequently shares her insights on cloud technology and careers on her blog and popular YouTube channel. She is the founder of NexaScale, a social enterprise aimed at offering and sharing new opportunities for projects and work experiences within the tech sector. She is a sought-after public speaker, thought leader and author. She is based in Cambridge, UK.

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Book SynopsisLearn how to run large-scale, data-intensive workloads with Compute Engine, Google's cloud platform. Written by Google engineers, this tutorial walks you through the details of this Infrastructure as a Service by showing you how to develop a project with it from beginning to end.

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Book SynopsisWelcome to this introductory guide to using Microsoft''s Azure Arc service, a new multi-cloud management platform that belongs in every cloud or DevOps estate. As many IT pros know, servers and Azure Kubernetes Service drive a huge amount of consumption in Azure-so why not extend familiar management tools proven in Azure to on-premises and other cloud networks? This practical guide will get you up to speed quickly, with instruction that treads light on the theory and heavy on the hands-on experience to make setting up Azure Arc servers and Kubernetes across multiple clouds a lot less complex. Azure experts and MVPs Buchanan and Joyner provide just the right amount of context so you can grasp important concepts, and get right to the business of using and gaining value from Azure Arc. If your organization has resources across hybrid cloud, multi-cloud, and edge environments, then this book is for you. You will learn how to configure and use Azure Arc to uniformly manage workloads across all of these environments.What You Will Learn  Introduces the basics of hybrid, multi-cloud, and edge computing and how Azure Arc fits into that IT strategy Teaches the fundamentals of Azure Resource Manager, setting the reader up with the knowledge needed on the technology that underpins Azure Arc Offers insights into Azure native management tooling for managing on-premises servers and extending to other clouds Details an end-to-end hybrid server monitoring scenario leveraging Azure Monitor and/or Azure Sentinel that is seamlessly delivered by Azure Arc Defines a blueprint to achieve regulatory compliance with industry standards using Azure Arc, delivering Azure Policy from Azure Defender for Servers Explores how Git and GitHub integrate with Azure Arc; delves into how GitOps is used with Azure Arc Empowers your DevOps teams to perform tasks that typically fall under IT operations Dives into how to best use Azure CLI with Azure Arc Who This Book Is ForDevOps, system administrators, security professionals, and IT workers responsible for servers both on-premises and in the cloud. Some experience in system administration, DevOps, containers, and use of Git/GitHub is helpful.Table of Contents1. Azure Arc as Extension of the Azure Control Plane 2. Azure Resource Manager Insights 3. Azure Management Insights 4. Azure Arc Servers: Getting Started 5. Azure Arc Servers: Using at Scale 6. Hybrid Server Monitoring Solution 7. Regulatory and Security Compliance for Azure Arc Servers 8. GitOps Insights9. Azure Arc Enabled Kubernetes: Getting Started

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Book SynopsisApply different enterprise integration and processing strategies available with Pulsar, Apache''s multi-tenant, high-performance, cloud-native messaging and streaming platform. This book is a comprehensive guide that examines using Pulsar Java libraries to build distributed applications with message-driven architecture.You''ll begin with an introduction to Apache Pulsar architecture. The first few chapters build a foundation of message-driven architecture. Next, you''ll perform a setup of all the required Pulsar components. The book also covers work with Apache Pulsar client library to build producers and consumers for the discussed patterns. You''ll then explore the transformation, filter, resiliency, and tracing capabilities available with Pulsar. Moving forward, the book will discuss best practices when building message schemas and demonstrate integration patterns using microservices. Security is an important aspect of any applicatiTable of ContentsData Processing with Apache PulsarChapter 1: Introduction to Apache Pulsar Chapter 2: Working with MessagesChapter 3: Working with Pulsar Functions Chapter 4: Schema RegistryChapter 5: Build Microservices using PulsarChapter 6: Pulsar ConnectersChapter 7: Pulsar SecurityChapter 8: Deploy Pulsar on Kubernetes

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Book SynopsisWrite efficient, smart, and optimized code for containerized applications on public and private clouds at a generic level. This book shows you how to set up microservices that are robust, scalable, and capable of running on GKE (Google Kubernetes Service), AKS (Azure Kubernetes Service), ECS (Elastic Container Service), or even on a vanilla K8S cluster.The book covers the nuts and bolts of container orchestration engines (COEs) and explains how to install and configure them. It also covers creation and deployment of a sample application on COEs. You will learn how to integrate different applications such as OAuth and how to test them and secure them using Istio Citadel. You also will be taught how to create HPA rules for microservices and scale only those microservices that require it, making your stack intelligent. In the concluding chapter, the book explains how to build a SaaS solution from scratch, running on the cloud with automated deployments accessed publicly via a secured ingrTable of Contents•Chapter 1, Cloud Computing and KubernetesChapter Goal:o What is cloud computingo What is Kuberneteso Different distributions of Kuberneteso Setting up a K8S cluster- for workshop purposeso Common commands of K8So Place of Kubernetes from an architecture point of view.•Chapter 2, Creating Applications on KubernetesChapter Goal:o Create an Apache http servero Create a Java Tomcat war-based servero Create a gRPC API server o Create a Rest API servero Differences when creating applications on Kubernetes.o How will the application be actually called in a production based cluster.•Chapter 3, Testing of Applications on KubernetesChapter Goal:o Creating a CI system for testing.o Using of Pytest, go test, behave and other best testing tools based on programming language.o Adding a simple CD system stage.o Coverage of code and mock of applications to replicate real time scenarios.•Chapter 4, Security of ApplicationsChapter Goal:o Creating a book inventory application composed of UI, API and DBo Using cloud services instead of reinventing the wheelo Using and understand Istio for TLS Encryption and monitoring.o Understanding authentication/authorization and RBAC systems.o Leverage all the services available rather than developing things to secure all microservices.•Chapter 5, Networking of ApplicationsChapter Goal:o Understanding the basics of networking in Kubernetes.o How containers/pod reach each other via overlay networking.o Different ways networking is configured in Kubernetes cluster.o Using name-based DNS routing in applications rather than IP’so Understanding load balancers and the features provided by it.o Using Istio to create a service mesh of microservices and see the flow of traffic between them.o Configuring Kubernetes objects such as Ingress, Service, Endpoints.•Chapter 6, Scaling of Software SolutionChapter Goal:o Identify which microservice of the solution is becoming a bottlenecko Creating HPA rules in Kubernetes to scale specific microservice.o Use case and real-world problems and solutions to them via scaling. •Chapter 7, Building a SaaS SolutionChapter Goal:o Start with nothing but a simple k8s cluster.o Create microservice with your own hands one by one.o Identify what all services are required for building a sample SaaS e commerce solution.o Creating/Configuring a UI, API, DB, business logic, monitoring software stack.o Architecting the entire solution.o Bring the stack up and testing it against load and autoscaling the solution to support any number of requests.

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Book SynopsisGet introduced to Azure Arc-enabled Data Services and the powerful capabilities to deploy and manage local, on-premises, and hybrid cloud data resources using the same centralized management and tooling you get from the Azure cloud. This book shows how you can deploy and manage databases running on SQL Server and Postgres in your corporate data center or any cloud as if they were part of the Azure platform. This second edition has been updated to the latest codebase, allowing you to use this book as your handbook to get started with Azure Arc-enabled Data Services today. Learn how to benefit from Azure's centralized management, the automated rollout of patches and updates, managed backups, and more.This book is the perfect choice for anyone looking for a hybrid or multi-vendor cloud strategy for their data estate. The authors walk you through the possibilities and requirements to get Azure SQL Managed Instance and PostgresSQL Hyperscale deployed outside of Azure, so the services are accessible to companies that cannot move to the cloud or do not want to use the Microsoft cloud exclusively. The technology described in this book will benefit those required to keep sensitive services, such as medical databases, away from the public cloud equally as those who can't move to a public cloud for other reasons such as infrastructure constraints but still want to benefit from the Azure cloud and the centralized management and tooling that it supports. What You Will LearnUnderstand the fundamentals and architecture of Azure Arc-enabled data servicesBuild a multi-cloud strategy based on Azure Data ServicesDeploy Azure Arc-enabled data services on premises or in any cloudDeploy Azure Arc-enabled SQL Managed Instance on premises or in any cloudDeploy Azure Arc-enabled PostgreSQL Hyperscale on premises or in any cloudBackupand Restore your data that is managed by Azure Arc-enabled data servicesManage Azure-enabled data services running outside of AzureMonitor Azure-enabled data services through Grafana and KibanaMonitor Azure-enabled data services running outside of Azure through Azure MonitorWho This Book Is ForDatabase administrators and architects who want to manage on-premises or hybrid cloud data resources from the Microsoft Azure cloud. Especially for those wishing to take advantage of cloud technologies while keeping sensitive data on premises and under physical control.Table of Contents1. A Kubernetes Primer2. Azure Arc-Enabled Data Services3. Getting Ready for Deployment4. Installing Kubernetes5. Deploying a Data Controller in Indirect Mode 6. Deploying a Data Controller in Direct Mode 7. Deploying an Azure Arc-Enabled SQL Managed Instance8. Deploying Azure Arc-Enabled PostgreSQL Hyperscale 9. Monitoring and Management

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Book SynopsisDesign and implement a modern data lakehouse on the Azure Data Platform using Delta Lake, Apache Spark, Azure Databricks, Azure Synapse Analytics, and Snowflake. This book teaches you the intricate details of the Data Lakehouse Paradigm and how to efficiently design a cloud-based data lakehouse using highly performant and cutting-edge Apache Spark capabilities using Azure Databricks, Azure Synapse Analytics, and Snowflake. You will learn to write efficient PySpark code for batch and streaming ELT jobs on Azure. And you will follow along with practical, scenario-based examples showing how to apply the capabilities of Delta Lake and Apache Spark to optimize performance, and secure, share, and manage a high volume, high velocity, and high variety of data in your lakehouse with ease. The patterns of success that you acquire from reading this book will help you hone your skills to build high-performing and scalable ACID-compliant lakehouses using flexible and cost-efficient decoupled storTable of ContentsIntroductionPart I. Getting Started1. The Lakehouse Paradigm2. Mount Lakes to DatabricksPart II. Lakehouse Platforms3. Snowflake Data Warehouse4. Synapse Analytics Serverless Pools5. Databricks SQL AnalyticsPart III. Apache Spark6. PySpark7. Extract, Load, Transform JobsPart IV. Delta Lake8. Delta Schema Evolution9. Delta Change Feed10. Delta Clones11. Delta Live Tables12. Delta SharingPart V. Optimizing Performance13. Dynamic Partition Pruning for Querying Star Schemas14. Z-Ordering and Data Skipping15. Adaptive Query Execution16. Bloom Filter Index17. HyperspacePart VI. Lakehouse Capabilities18. Auto Loader Resource Management19. Advanced Schema Evolution with Auto Loader 20. Python Wheels21. Security and Controls22. Unity Catalog

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Book SynopsisThis book provides Kafka administrators, site reliability engineers, and DataOps and DevOps practitioners with a list of real production issues that can occur in Kafka clusters and how to solve them. The production issues covered are assembled into a comprehensive troubleshooting guide for those engineers who are responsible for the stability and performance of Kafka clusters in production, whether those clusters are deployed in the cloud or on-premises. This book teaches you how to detect and troubleshoot the issues, and eventually how to prevent them. Kafka stability is hard to achieve, especially in high throughput environments, and the purpose of this book is not only to make troubleshooting easier, but also to prevent production issues from occurring in the first place. The guidance in this book is drawn from the author's years of experience in helping clients and internal customers diagnose and resolve knotty production problems and stabilize their Kafka environments. The book Table of Contents

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Book SynopsisSalesforce Field Service (formerly Field Service Lightning) connects customers, workforce, and products on a single platform to deliver exceptional on-site services. This book guides Field Service enthusiasts in creating, managing, and automating support with use cases and real-time examples. You will learn Salesforce Field Service which will help you better manage your customers, internal users, and field technicians. As you advance, you'll learn the whole end-to-end life cycle of creating work orders, associating service appointments to work orders, scheduling and dispatching service appointments to field technicians, and completing the work orders. By the end of this book, you'll be able to implement, test and deploy Salesforce Field Service for both Desktop and Mobile apps. What you'll learn Basics of Field Service Field Service objects and data model Field Service schedulingand optimization Configuring Salesforce Field Service Managing Salesforce Field ServiceTable of ContentsChapter 1: Intro to Salesforce Field Service · Basics of Field Service and Field Service Life Cycle · Field Service Personas, Objects and Data Model · Common Field Service Terminology · How Salesforce can help build Field Service and understanding Salesforce Licenses Chapter 2: Step by Step Field Service Implementation · Installing Field Service Managed App Exchange Package · Using Field Service Guided Setup · Using Dispatcher Console for dispatching Service Appointments Chapter 3: Extending Field Service to Mobile · Configuring Field Service Mobile App · How Field Technicians use Mobile App Chapter 4: Reporting in Field Service · Configure Reports and Dashboards to understand Field Service performance Chapter 5: Cracking Salesforce Field Service Lightning Certification · Understanding exam outline, key tips and strategies

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Book SynopsisDiscover the power of SAP Integration Suite's capabilities with this hands-on guide. Learn how this integration platform (iPaaS) can help you connect and automate your business processes with integrations, connectors, APIs, and best practices for a faster ROI. Over the course of this book, you will explore the powerful capabilities of SAP Integration Suite, including API Management, Open Connectors, Integration Advisor, Trading Partner Management, Migration Assessment, and Integration Assessment. With detailed explanations and real-world examples, this book is the perfect resource for anyone looking to unlock the full potential of SAP Integration Suite. With each chapter, you'll gain a greater understanding of why SAP Integration Suite can be the proverbial swiss army knife in your toolkit to design and develop enterprise integration scenarios, offering simplified integration, security, and governance for your applications. Author Jaspreet Bagga demonstrates howto create, publish, and Table of ContentsChapter 1: Introduction to APIs.- Chapter 2: Introduction to SAP Integration Suite.- Chapter 3: SAP Integration Advisor.- Chapter 4: SAP API Management.- Chapter 5: SAP Trading Partner Management.- Chapter 6: SAP Integration Assessment.- Chapter 7: SAP Open Connectors.- Chapter 8: Migration Assesments.

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Book SynopsisExplore the world of Kubernetes and learn the concepts needed to develop, deploy, and manage applications on this container orchestrator. This step-by-step development guide is designed for application developers and support members aiming to learn Kubernetes and/or prepare for interviews. All the concepts in the book are presented in Q&A format,with questions framed exactly the way they are asked in an interview, giving you a distinctive edge in interviews. You'll start by understanding how application development and deployment have evolved over the decades leading up to containerization. You'll then dive deep into core Kubernetes concepts, learning Kubernetes architecture, Kubernetes objects and workload resources, and how to exploit them to their full potential. You'll also learn Kubernetes deployment strategies and concepts related to rollout and rollback. Moving on, you'll look at two very important aspects of any computing ecosystem: networking and storage. You will gain an Table of ContentsChapter 1: Welcome to the World of Containers.- Chapter 2: Kubernetes- Deep Dive Begins.- Chapter 3: Essential Objects in Kubernetes Cluster.- CHAPTER 4: Objects Important for Secure Kubernetes Cluster.- CHAPTER 5: Networking in Kubernetes.- CHAPTER 6: Kubernetes Storage System.- CHAPTER 7: Manage Your Kubernetes Cluster Efficiently.- CHAPTER 8: Best Practices – Kubernetes and Docker.- CHAPTER 9: kubectl – The Command Line Tool

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Book SynopsisThis hands-on guide provides the knowledge and tools you need to measure, deploy, and manage your web application infrastructure before you experience explosive growth. In this thoroughly updated edition, authors Arun Kejariwal (MZ) and John Allspaw provide a systematic, robust, and practical approach to capacity planning.

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Book SynopsisGet valuable tips and techniques for automating your cloud deployments with Azure PowerShell cmdlets, and learn how to provision Azure services on the fly. In this hands-on guide, Microsoft cloud technology expert Michael Washam shows you how to automate various management tasks and deploy solutions that are both complex and at scale.

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Book SynopsisFor many organizations, a big part of DevOps' appeal is software automation using infrastructure-as-code techniques. This book presents developers, architects, and infra-ops engineers with a more practical option.

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Book SynopsisWith cloud providers running servers and managing machine resources, companies now can focus solely on the application's business logic and functionality. This hands-on book shows experienced programmers how to build and deploy scalable machine learning and deep learning models using serverless architectures with Microsoft Azure.

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Book SynopsisThis practical book shows data scientists, data engineers, and platform architects how to plan and execute a Kubeflow project to make their Kubernetes workflows portable and scalable.

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Book SynopsisWant to run your Kubernetes workloads safely and securely? This practical book provides a threat-based guide to Kubernetes security. Authors Andrew Martin and Michael Hausenblas share best-practice configuration to help you harden clusters from possible angles of attack.

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Book SynopsisWith this practical book, new and experienced developers and operators will learn specific techniques and examples for operationalizing OpenShift and Kubernetes in the enterprise.

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Book SynopsisThis practical book shows you how to build a true cloud native infrastructure on Microsoft Azure, following guidelines from the Cloud Native Computing Foundation (CNCF).

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Book SynopsisWith this practical, developer-oriented book, DevOps engineers, developers, IT architects, and SREs will learn the most useful recipes and examples for following GitOps practices.

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Book SynopsisWith this practical guide, author Sev Leonard provides a holistic approach to designing scalable data pipelines in the cloud. Intermediate data engineers, software developers, and architects will learn how to navigate cost/performance trade-offs and how to choose and configure compute and storage.

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Book SynopsisUsing a multi-disciplinary and comparative approach, this study examines emerging and innovative attempts to tackle privacy and legal issues in cloud computing such as personal data privacy, security and intellectual property protection.An international team of legal scholars, computer science researchers, regulators and practitioners present original and critical responses to the growing challenges posed by cloud computing. They analyze the specific legal implications pertaining to jurisdiction, biomedical practice and information ownership, as well as issues of regulatory control, competition and cross-border regulation.Law academics, practitioners and regulators will find this book to be a valuable, practical and accessible resource, as will computer science scholars interested in cloud computing issues.Contributors: H. Chang, A.S.Y. Cheung, A. Chiu, K.P. Chow, E.S. Dove, X. Fan, Y. Joly, T.S.-H. Kaan, B.M. Knoppers, J. Kong, G. Master, J.-P. Moiny, C. Reed, D.N. Staiger, G.Y. Tian, R.H. Weber, P.K. YuTrade Review'Experts from various countries have managed to create a handbook on the legal aspects of cloud computing, including problems of intellectual property laws, contractual issues, privacy and private international law. In addition, the book deals with the highly sensitive and controversial problems of biomedical and health data stored in and transferred via cloud systems. The chapters are comprehensive and written with a masterful hand by lawyers who are known throughout the world as leading information law experts.' --Thomas Hoeren, University of Muenster, Germany'Cloud computing provides the foundation for the myriad of network services that millions of Internet users rely upon every day. The cloud offers economic benefits to providers and convenience to users, but it also generates challenging new privacy and legal concerns that until now have been largely under-explored. Anne Cheung and Rolf Weber's exceptional book on cloud computing issues fills an important void, featuring a comprehensive, timely and engaging collection of works assessing the cloud from many legal perspectives. From privacy to copyright to jurisdiction, the book is a must-read for anyone exploring the intersection of law and cutting-edge technologies.' --Michael A. Geist, University of Ottawa, CanadaTable of ContentsContents: Preface Introduction: A Walk in the Clouds Anne S.Y. Cheung and Rolf H. Weber 1. Introduction to Cloud Computing and Security Issues Joe Kong, Xiaoxi Fan and K.P. Chow 2. Data Protection Regulation and Cloud Computing Henry Chang 3. Legal Safeguards for Cloud Computing Rolf H. Weber 4. Re-personalizing Personal Data in the Cloud Anne S.Y. Cheung 5. Cross-border Data Flow in the Cloud Between the EU and the US Dominic N. Staiger 6. Cloud and Jurisdiction: Mind the Borders Jean-Philippe Moiny 7. Information in the Cloud: Ownership, Control and Accountability Chris Reed 8. Cloud Computing and Copyright George Yijun Tian 9. Towards the Seamless Global Distribution of Cloud Content Peter K. Yu 10. Lost in Translation: Transforming Healthcare Information for the Digital and Cloud Domains Terry Sheung-Hung Kaan 11. International Genomic Cloud Computing: ‘Mining’ the Terms of Service Edward S. Dove, Yann Joly and Bartha M. Knoppers 12. Practical Aspects of Licensing in the Cloud Alan Chiu and Geofrey Master Index

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Book SynopsisSoftware defined networking (SDN) is one of the most promising recent developing in the networking. Together with network function virtualization (NFV) it has the potential to automate the networking tasks in a seamless manner.This book introduces the reader to this burgeoning field and explains the basic concepts within a historical context. It should be useful to senior undergraduates, beginning graduate students, and also to anyone curious about this topic.

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Book SynopsisThis book covers not only information protection in cloud computing, architecture and fundamentals, but also the plan design and in-depth implementation details needed to migrate existing applications to the cloud. Cloud computing has already been adopted by many organizations and people because of its advantages of economy, reliability, scalability and guaranteed quality of service amongst others. Readers will learn specifics about software as a service (Saas), platform as a service (Paas), infrastructure as a service (IaaS), server and desktop virtualization, and much more. Readers will have a greater comprehension of cloud engineering and the actions required to rapidly reap its benefits while at the same time lowering IT implementation risk. The book's content is ideal for users wanting to migrate to the cloud, IT professionals seeking an overview on cloud fundamentals, and computer science students who will build cloud solutions for testing purposes.

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Book SynopsisThis book covers not only information protection in cloud computing, architecture and fundamentals, but also the plan design and in-depth implementation details needed to migrate existing applications to the cloud. Cloud computing has already been adopted by many organizations and people because of its advantages of economy, reliability, scalability and guaranteed quality of service amongst others. Readers will learn specifics about software as a service (Saas), platform as a service (Paas), infrastructure as a service (IaaS), server and desktop virtualization, and much more. Readers will have a greater comprehension of cloud engineering and the actions required to rapidly reap its benefits while at the same time lowering IT implementation risk. The book's content is ideal for users wanting to migrate to the cloud, IT professionals seeking an overview on cloud fundamentals, and computer science students who will build cloud solutions for testing purposes.

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Book SynopsisThis open access book provides an overview of the work developed within the SODALITE project, which aims at facilitating the deployment and operation of distributed software on top of heterogeneous infrastructures, including cloud, HPC and edge resources. The experts participating in the project describe how SODALITE works and how it can be exploited by end users. While multiple languages and tools are available in the literature to support DevOps teams in the automation of deployment and operation steps, still these activities require specific know-how and skills that cannot be found in average teams. The SODALITE framework tackles this problem by offering modelling and smart editing features to allow those we call Application Ops Experts to work without knowing low level details about the adopted, potentially heterogeneous, infrastructures. The framework offers also mechanisms to verify the quality of the defined models, generate the corresponding executable infrastructural code, automatically wrap application components within proper execution containers, orchestrate all activities concerned with deployment and operation of all system components, and support on-the-fly self-adaptation and refactoring.Table of ContentsOrchestrating Heterogeneous Applications: Motivation and State of the Art.- The SODALITE Approach: an Overview.- The SODALITE Model-driven Approach.- Quality Assurance and Design-time Optimization.- The SODALITE Runtime Environment.- SODALITE in Context.- SODALITE Use Cases.- Toward Impact Generation and Future Research.

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Book SynopsisNumerous advancements are being brought in and incorporated into the cloud domain with the aim of realizing a trove of deeper and decisive automations.Rather than discussing the cloud paradigm in isolation, this fully updated text examines how cloud computing can work collaboratively with other computing models to meet the needs of evolving trends.This multi-dimensional approach encompasses the challenges of fulfilling the storage requirements of big data, the use of the cloud as a remote server for Internet of Things and sensor networks, and an investigation of how cloud computing is interlinked with other established computing phenomenon such as edge computing. New chapters illustrate the distinct ideals of the cloud-native computing, proclaimed as the next-generation cloud computing paradigm.Topics and features: Includes learning objectives, motivating questions, and self-test exercises Introduces the underlying concepts, fundamental features, and key technological foundations of cloud computing Examines how enterprise networking and cloud networking can work together to achieve business goals Reviews the different types of cloud storage available to address the evolution of data and the need for digitization Discusses the challenges and approaches to implementing cloud governance, security, and the hot topic of cloud management Describes the details of cloud migration, the crucial role of monitoring in optimizing the cloud, and the basics of disaster recovery using cloud infrastructure This technically rigorous, yet simple-to-follow textbook is an ideal resource for graduate courses on cloud computing. Professional software developers and cloud architects will also find the work to be an invaluable reference.Table of Contents1. Introduction to Cloud Computing.- 2. Fundamentals of Cloud Computing.- 3. Technological Foundations of Cloud Computing.- 4. Cloud Networking.- 5. Storage Fundamentals and Cloud Storage.- 6. Cloud Security.- 7. Cloud Migration.- 8. Cloud Monitoring.- 9. Basics of Cloud Management.- 10. Cloud Service Brokerage.- 11. Cloud Orchestration.- 12. Disaster Recovery.

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Book SynopsisNumerous advancements are being brought in and incorporated into the cloud domain with the aim of realizing a trove of deeper and decisive automations. Rather than discussing the cloud paradigm in isolation, this fully updated text examines how cloud computing can work collaboratively with other computing models to meet the needs of evolving trends.This multi-dimensional approach encompasses the challenges of fulfilling the storage requirements of big data, the use of the cloud as a remote server for Internet of Things and sensor networks, and an investigation of how cloud computing is interlinked with other established computing phenomenon such as edge computing.New chaptersillustrate the distinct ideals of the cloud-native computing, proclaimed as the next-generation cloud computing paradigm. Topics and features:Includes learning objectives, motivating questions, and self-test exercisesIntroduces the underlying concepts, fundamental features, and key technological foundations of cloud computingExamines how enterprise networking and cloud networking can work together to achieve business goalsReviews the different types of cloud storage available to address the evolution of data and the need for digitizationDiscusses the challenges and approaches to implementing cloud governance, security, and the hot topic of cloud managementDescribes the details of cloud migration, the crucial role of monitoring in optimizing the cloud, and the basics of disaster recovery using cloud infrastructureThis technically rigorous, yet simple-to-follow textbook is an ideal resource for graduate courses on cloud computing. Professional software developers and cloud architects will also find the work to be an invaluable reference.

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Book SynopsisThis book constitutes revised selected papers from the refereed proceedings of the 7th International Symposium on Algorithmic Aspects of Cloud Computing, ALGOCLOUD 2022, which took place in Potsdam, Germany, on September 6, 2022.The 6 full papers included in this book were carefully reviewed and selected from 16 submissions. They were organized in topical sections as follows: Cloud-Based Urban Mobility Services; New Results in Priority-Based Bin Packing; More Sparking Soundex-based Privacy-Preserving Record Linkage and Privacy Preserving Queries of Shortest Path Distances.Table of ContentsCloud-Based Urban Mobility Services.- SQL Query Optimization in Distributed NoSQL Databases for Cloud-based Applications.- MAGMA: Proposing a Massive Historical Graph Management System.- New Results in Priority-Based Bin Packing.- More Sparking Soundex-based Privacy-Preserving Record Linkage.- Privacy Preserving Queries of Shortest Path Distances.

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Book SynopsisThis textbook provides a thorough yet compact review of cloud technologies. It offers easy to understand explanations of the technical concepts underlying cloud services, platforms, and applications offered by Amazon Web Services (AWS), Microsoft Azure, and the Google Cloud Platform (GCP). It presents cloud concepts at a depth that can be understood and applied by both technical and non-technical readers. Once that is accomplished the learner can then easily move toward more advanced topics. Or, they can use the knowledge gained from this book to obtain industry certifications and be competitive in this exciting industry. Reader learning is enhanced with quizzes and exam questions and hands-on labs throughout the book with PowerPoint slides, instructor guide and additional labs online. All the tools needed for advancement to the level of cloud architect are found in this book. The author has verified the success of this approach in his own academic environment with much success. He teaches Cloud Engineering and Advanced Cloud Engineering at Southern Methodist University. Both courses were developed in partnership with the AWS Academy, the education arm of the Amazon Web Services cloud platform. Using this methodology his students routinely take and pass cloud certification exams and obtain lucrative employment positions in the rapidly expanding cloud industry.Table of ContentsPart 1: Introduction to Cloud Computing Chapter 1: Cloud Computing Concepts Part 2: Cloud Networking Chapter 2: Basic Networking Chapter 3: Network Addressing and Protocols Chapter 4: Bringing It All Together Part 3: Public Cloud Providers Chapter 5: Well-Architected Framework Chapter 6: Amazon Web Services (AWS) Chapter 7: Microsoft Azure Chapter 8: Google Cloud Platform (GCP) Part 4: AWS, AZURE and GCP Labs Chapter 9: Amazon Web Services (AWS) Lab Chapter 10: Microsoft Azure Lab Chapter 11: Google Cloud Platform (GCP) Part 5: Conclusion Chapter 12: Comparing AWS, Azure, and GCP Chapter 13: Cloud Certifications Chapter 14: Cloud Trends

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Book SynopsisThis book focuses on energy efficiency concerns in fog–edge computing and the requirements related to Industry 4.0 and next-generation networks like 5G and 6G. This book guides the research community about practical approaches, methodological, and moral questions in any nations’ journey to conserve energy in fog–edge computing environments. It discusses a detailed approach required to conserve energy and comparative case studies with respect to various performance evaluation metrics, such as energy conservation, resource allocation strategies, task allocation strategies, VM migration, and load-sharing strategies with state-of-the-art approaches, with fog and edge networks.Table of ContentsChapter 1: Energy-aware resource scheduling in FoG environment for IoT-based applicationsRajeev Tiwari, Mamta Mittal, Shelly, Sumit KumarChapter2: DoSP: A Deadline-Aware Dynamic Service Placement Algorithm for Workflow-oriented IoT Applications in Fog-Cloud Computing EnvironmentsMeeniga Sriraghavendra, Priyanka Chawla, Huaming Wu, Sukhpal Singh Gill, and Rajkumar BuyyaChapter 3: Improvement of Task Offloading for Latency Sensitive Tasks in Fog Environment Parmeet Kaur and Shikha MehtaChapter 4: A Sustainable Energy Efficient IoT-Based Solution for Real Time Traffic Assistance using Fog ComputingBhawna Suri, Shweta Taneja, Sunny Kumar, SumitChapter 5: Analysis on Application of Fog Computing in Industry 4.0 and Smart CitiesSuja Cherukullapurath Mana , B.Keerthi Samhitha ,Deepa D, Vignesh RChapter 6: Fog-Computing: A Novel Approach For Cloud-based devices Using Perceptual Cloning Manifestation-PERCOLNIF Taxonomy by Energy Optimization.Rupa Kesavan, Vijayaraja Loganathan, Shankar T and Periasamy J KChapter 7: Performance Evaluation and Energy Efficient VM Placement for Fog assisted IoT EnvironmentSudhansu Shekhar Patra, ,Mamta Mittal, D Jude Hemantha, Mahmoud AL Ahmad and Rabindra Kumar BarikChapter 8: Load Balancing in Fog Computing using QoS Shilpi Harnal, Gaurav Sharma, Nidhi Seth, Ravi Dutt MishraChapter 9: Fog Computing in Industry 4.0: Applications and Challenges – A Research Roadmap Sita Rani, Aman Kataria and Meetali ChauhanChapter 10: Fog Computing based Architecture for Smart City Projects and Applications Naishadh Mehta, Anand Ruparelia, and Jai Prakash Verma Chapter 11: Integration of Fog Computing and IoT Based Energy Harvesting (EHIoT) Model for Wireless Sensor NetworkH.M.K.K.M.B. Herath , R.D.D. Prematilake , B.G.D.A. MadhusankaChapter 12: Design and Development of Efficient Secure Routing Mechanism For Wireless Sensor NetworkTaranath N L, Roopashree H R, Yogeesh A C, Darshan L M, C K SubbarayaChapter 13: Futuristic Communication Systems using Mobile Edge ComputingManinder Jeet Kaur, Piyush Maheshwari, Sadia Riaz, Arif MushtaqChapter 14: Methodology to ensure the continuity of the information systems service, based on the monitoring of electrical energy, using IOT technologyWilver Auccahuasi, Kitty Urbano, Edward Flores, Luis Romero, Monica Diaz, Edwin Felix, Nicanor Benites, Fernando Sernaque, Denny Lovera, Orlando Pacheco and Mario Ruiz

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Book SynopsisThis book gathers high-quality papers presented at the Second International Conference on Sustainable Technologies for Computational Intelligence (ICTSCI 2021) held at Graphic Era University, Dehradun, India, during May 22–23, 2021. It covers emerging topics in computational intelligence and effective strategies for its implementation in engineering applications.Table of ContentsAlleviating the Issues of Recommendation System through Deep Learning Techniques.- Communication Assistant using IoT based Device for People with Vision, Speech and Hearing Disability.- An Optimized Object Detection System For Visually Impaired People.- Sentiment Analysis of Zomato and Swiggy food delivery management system.- Text Similarity Identification based on CNN and CNN-LSTM Model.- Survey Based on Configuration of CubeSats Used for Communication Technology.- Ontology Driven Software Development for better Understanding and Maintenance of Software System.- Application of Genetic Algorithm (GA) in Medical Science: A Review.- Designing a Machine Learning Model to Predict Parkinson’s disease from Voice Recordings.- Prediction Techniques for Maintenance of Marine Bilge Pumps onboard ships.

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Book SynopsisThe proceeding presents best selected papers presented at 5th International Conference on Smart Computing and Informatics (SCI 2021), held at Department of Computer Science and Engineering, Vasvi College of Engineering, Hyderabad, Telangana, India, during 17 – 18 September 2021. It presents advanced and multi-disciplinary research towards the design of smart computing and informatics. The theme is on a broader front focuses on various innovation paradigms in system knowledge, intelligence and sustainability that may be applied to provide realistic solutions to varied problems in society, environment and industries. The scope is also extended towards the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in various disciplines of science, technology and healthcare. The work is published in two volumes.Table of ContentsAn Analytical Study of Covid-19 Dataset using Graph-Based Clustering Algorithms.- Development of Different Word Vectors and Testing using Text Classification Algorithms for Telugu.- Online Malayalam Script Assortment And Pre-Processing For Building Recommender Systems.- Design and synthesis of random number generator using LFSR.- A Flexible Accession on Brain Tumour Detection and Classification using VGG16 model.- Advertisement Click Fraud Detection Using Machine Learning Algorithms.- Artificial Intelligence for on-site detection of invasive Rugose Spiralling Whitefly in Coconut Plantation.- Analysis of different methodologies for Sentiment in Hindi Language.- A dynamic model and algorithm for real time traffic management.- A Selection-Based Framework for Building and Validating Regression Model for Covid-19 Information Management.- Fingerprint Liveliness Detectionto Mitigate Spoofing Attacks Using Generative Networks in Biometric System.- Pulmonary Nodule Detection using Laplacian of Gaussian and Deep Convolutional Neural Network.

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Book SynopsisThe book includes new research results of scholars from the Second International Conference on Advanced Intelligent Technologies (ICAIT 2021) subtitled Intelligent Technology and Industry organized by IRNet International Academic Communication Center, held during October 15–17, 2021. The book covers research work from active researchers who are working on collaboration of industry and various intelligent technologies such as intelligent technologies applicable/applied to manufacturing and distribution of industrial products, factory automation, business, etc. The book focuses on theory, design, development, testing, and evaluation of all intelligent technologies applicable/applied to various parts of industry and its infrastructure. The topics included are all computational intelligence techniques applicable/applied to industry, intelligent techniques in data science applicable/applied to business and management, intelligent network systems applicable/applied to industrial production, intelligent technologies applicable to smart agriculture, and intelligent information systems for agriculture.Table of ContentsUtilization of the Open-Source Arduino Platform to Control Based on Logic Et.- Ontology Implementation of OPC UA and Automation ML: A Review.- Airport Cab Scheduling Model Based on Queuing Theory .- Machine Reading Comprehension Model Based on Multi-head Attention Mechanism.- Design of Military Physical Fitness Evaluation System based on Big Data Clustering Algorithm.- ResNet-Based Multiscale U-Net for Human Parsing.- Short-Term Electricity Price Forecast Based on SSA-SVM Model.- Research on Mobile Advertising Click-through Rate Estimation Based on Neural Network.- Research on Macroeconomic Prediction Technology Based on Wavelet Neural Network.- Design Research on Financial Risk Control Model Based on CNN.

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Book SynopsisThis book includes selected papers presented at International Conference on Computational Intelligence, Data Science,, and Cloud Computing (IEM-ICDC 2021), organized by the Department of Information Technology Institute of Engineering and Management, Kolkata, India, during December 22 – 24, 2021. It covers substantial new findings about AI and robotics, image processing and NLP, cloud computing and big data analytics as well as in cyber-security, blockchain and IoT, and various allied fields. The book serves as a reference resource for researchers and practitioners in academia and industry.Table of ContentsAutoDrone: Shortest Optimized Obstacle-Free Path Planning for Autonomous Drones.- Transfer Learning and Transformer Architecture for Financial Sentiment Analysis.- Feature Extraction and Machine Learning for the Classification of Fashion Materials.- Cardamom Quality Evaluation Employing Electronic Nose.- COVID-DeepNet: Deep Convolutional Neural Network Architecture Designed for Early Prognosis of COVID-19 using Post-Anterior View of Chest X-Rays.- Analytical Study on Feature Selection for Big Data using Optimization Algorithms.- A Machine Learning Approach for Predicting the Death Time and Mortality.- Prediction of Crops Production Using Random Forest Regression.- Drowsy Driving Detection based on Deep Neural Network for Accident Avoidance.- An Intelligent Fire-Extinguishing Robotic System to Combat fire in Coal Mines.

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Book SynopsisThis book gathers selected papers presented at the Inventive Communication and Computational Technologies Conference (ICICCT 2022), held on May 12–13, 2022, at Gnanamani College of Technology, Tamil Nadu, India. The book covers the topics such as Internet of Things, social networks, mobile communications, big data analytics, bio-inspired computing, and cloud computing. The book is exclusively intended for academics and practitioners working to resolve practical issues in this area.Table of ContentsA Comparitive Study of Employee Attrition Analysis using Machine Learning and Deep Learning Techniques.- Efficient RNS Realization of High Speed Arithmetic Multiplier with Respect to Cryptographic Computation.- An Integrated Terrestrial - Satellite Cellular 5G Network Routing Protocol Using Reinforcement Learning Techniques.- Direct Trust-based GPSR Protocol (DT-GPSR) in VANET.- Combating Challenges in Healthcare using Blockchain.- HIDSC2: Host Based Intrusion Detection System in Cloud Computing.- The Impact of Online Reviews on Download Numbers of Mobile Apps.- Learning System During the Covid-19 in a University.- The Adoption of using the Zoom Application as a Learning Tool to Increase Neuro-Cognitive for Public High School in Jakarta.- Context Aware Voice Recognition System for Car Climate and Infotainment Control.- Study of Identification of Breast Tumor Through DL Technique.- Methods for Assessing Information Security Incidents in the Enterprise and Making Decisions.- Data Analytics for Healthcare Institutions: A Data Warehouse Model Proposal.- The Role of Existing Technology Text to Speech in the Deaf Disabled Communities due to Brain Inflammation.- Performance Analysis of Hybrid Deep Learning Approach for Human Actions Recognition.

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Book SynopsisThe book presents papers from the 7th International Conference on Big Data and Cloud Computing Challenges (ICBCC 2022). The book includes high-quality, original research on various aspects of big data and cloud computing, offering perspectives from the industrial and research communities on addressing the current challenges in the field. This book discusses key issues and highlights recent advances in a single broad topic applicable to different sub-fields by exploring various multidisciplinary technologies. This book supports the transfer of vital knowledge to next-generation researchers, students, and practitioners in academia and industry.Table of ContentsTable of contents: Track 1: Architecture Sample topics include, - Cloud Infrastructure as a Service -Cloud Platform as a Service -Cloud federation and hybrid cloud infrastructure -Programming models and systems/tools -Green data center -Networking technologies for data center -Cloud system design with FPGA, GPU, and APU -Monitoring, management and maintenance -Economic and business models -Dynamic resource provisioning Track 2: MapReduce Sample topics include, -Performance characterization and optimization -MapReduce on multi-core, GPU -MapReduce on hybrid distributed environments -MapReduce on opportunistic / heterogeneous computing systems -Extension of the MapReduce programming model -Debugging and simulation of MapReduce systems -Data-intensive applications using MapReduce -Optimized storage for MapReduce applications -Fault-tolerance & Self-capabilities Track 3: Security and Privacy -Accountability -Audit in clouds -Authentication and authorization -Cryptographic primitives -Reliability and availability -Trust and credential management -Usability and security -Security and privacy in clouds -Legacy systems migration -Cloud Integrity and Binding Issues Track 4: Services and Applications -Cloud Service Composition -Query and discovery models for cloud services -Trust and Security in cloud services -Change management in cloud services -Organization models of cloud services -Innovative cloud applications and experiences -Business process and workflow management -Service-Oriented Architecture in clouds Track 5: Virtualization -Server, storage, network virtualization -Resource monitoring -Virtual desktop -Resilience, fault tolerance -Modeling and performance evaluation -Security aspects -Enabling disaster recovery, job migration -Energy efficient issues Track 6. HPC on Cloud -Load balancing for HPC clouds -Middleware framework for HPC clouds -Scalable scheduling for HPC clouds -HPC as a Service -Performance Modeling and Management -Programming models for HPC clouds -HPC cloud applications -Optimal cloud deployment for HPC Track 7. Big Data Science and Foundations -Novel Theoretical Models for Big Data -New Computational Models for Big Data -Data and Information Quality for Big Data -New Data Standards Track 8.Big Data Infrastructure -Cloud/Grid/Stream Computing for Big Data -High Performance/Parallel Computing Platforms for Big Data -Autonomic Computing and Cyber-infrastructure, System Architectures, Design and Deployment -Energy efficient Computing for Big Data -Programming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big Data -Software Techniques and Architectures in Cloud/Grid/Stream Computing Big Data Open Platforms -New Programming Models for Big Data beyond Hadoop/MapReduce, STORM -Software Systems to Support Big Data Computing Track 9. Big Data Management -Advanced database and Web Applications -Novel Data Model and Databases for Emerging Hardware -Data Preservation -Data Provenance -Interfaces to Database Systems and Analytics Software Systems -Data Protection, Integrity and Privacy Standards and Policies -Information Integration and Heterogeneous and Multi-structured Data Integration -Data management for Mobile and Pervasive Computing -Data Management in the Social Web -Crowd sourcing -Spatiotemporal and Stream Data Management -Scientific Data Management -Workflow Optimization -Database Management Challenges: Architecture, Storage, User Interfaces Track 10. Big Data Search and Mining -Social Web Search and Mining -Web Search -Algorithms and Systems for Big Data Search -Distributed, and Peer-to-peer Search -Big Data Search Architectures, Scalability and Efficiency -Data Acquisition, Integration, Cleaning, and Best Practices -Visualization Analytics for Big Data -Computational Modeling and Data Integration -Large-scale Recommendation Systems and Social Media Systems -Cloud/Grid/Stream Data Mining- Big Velocity Data -Link and Graph Mining -Semantic-based Data Mining and Data Pre-processing -Mobility and Big Data Track 11. Big Data Security & Privacy -Intrusion Detection for Gigabit Networks -Anomaly and APT Detection in Very Large Scale Systems -High Performance Cryptography -Visualizing Large Scale Security Data -Threat Detection using Big Data Analytics -Privacy Threats of Big Data -Privacy Preserving Big Data Collection/Analytics -HCI Challenges for Big Data Security & Privacy -User Studies for any of the above -Sociological Aspects of Big Data Privacy Track 12. Big Data Applications -Complex Big Data Applications in Science, Engineering, Medicine, Healthcare, Finance -Business, Law, Education -Transportation, Retailing, Telecommunication -Big Data Analytics in Small Business Enterprises (SMEs) -Big Data Analytics in Government, Public Sector and Society in General -Real-life Case Studies of Value Creation through Big Data Analytics -Big Data as a Service -Big Data Industry Standards -Experiences with Big Data Project Deployments Track 13. Recent trends -Semantic Cloud -Mobile Cloud -e-Healthcare Applications in Cloud -Cloud analytics for Internet of Things (IoT) -Smart Grid -Fog Computing -Edge Computing -Deep Learning -CNN

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

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

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

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

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

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

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

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Book SynopsisThis book provides a comprehensive overview of the research on anomaly detection with respect to context and situational awareness that aim to get a better understanding of how context information influences anomaly detection. In each chapter, it identifies advanced anomaly detection and key assumptions, which are used by the model to differentiate between normal and anomalous behavior. When applying a given model to a particular application, the assumptions can be used as guidelines to assess the effectiveness of the model in that domain. Each chapter provides an advanced deep content understanding and anomaly detection algorithm, and then shows how the proposed approach is deviating of the basic techniques. Further, for each chapter, it describes the advantages and disadvantages of the algorithm. The final chapters provide a discussion on the computational complexity of the models and graph computational frameworks such as Google Tensorflow and H2O because it is an important issueTable of Contents1 Large-Scale Video Event Detection Using Deep Neural Networks 2 Leveraging Selectional Preferences for Anomaly Detection in Newswire Events 3 Abnormal Event Recognition in Crowd Environments 4 Cognitive Sensing: Adaptive Anomalies Detection with Deep Networks 5 Language-Guided Visual Recognition 6 Deep Learning for Font Recognition and Retrieval 7 A Distributed Secure Machine-Learning Cloud Architecture for Semantic Analysis 8 A Practical Look at Anomaly Detection Using Autoencoders with H2O and the R Programming Language

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Book SynopsisWritten in a tutorial style, this comprehensive guide follows a structured approach explaining cloud techniques, models and platforms. Popular cloud services such as Amazon, Google and Microsoft Azure are explained in the text. The security risks and challenges of cloud computing are discussed in detail with useful examples. Emerging trends including mobile cloud computing and internet of things are discussed in the book for the benefit of the readers. Numerous review questions, multiple choice exercises and case studies facilitate enhanced understanding. This textbook is ideal for undergraduate and graduate students of computer science engineering, and information technology.Table of ContentsFigures; Tables; Preface; Acknowledgements; 1. Introduction; 2. Evolution and enabling technologies; 3. Benefits and challenges; 4. Cloud computing model; 5. Cloud computing services; 6. Security reference model; 7. Resource virtualization; 8. Resource pooling, sharing and provisioning; 9. Scaling in the cloud; 10. Capacity planning; 11. Load balancing; 12. Service-oriented architecture; 13. File system and storage; 14. Database technology; 15. Content delivery network; 16. Security issues; 17. Privacy and compliance issues; 18. Portability and interoperability issues; 19. Cloud management and a programming model case study; 20. Popular cloud services; 21. Mobile cloud computing and internet of things; Appendix I. Hot research topics; Index.

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