Description
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
