Distributed and Cloud Computing Clusters Grids Clouds and the Future of Internet 1st Edition by Kai Hwang, Jack Dongarra, Geoffrey Fox

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Author: Kai Hwang, Jack Dongarra, Geoffrey Fox
‘Distributed and Cloud Computing’ explains how to create high-performance, scalable, reliable systems. Starting with an overview of modern distributed models, the text exposes the design principles, systems architecture, and innovative applications of parallel, distributed, and cloud computing systems. Distributed and Cloud Computing: From Parallel Processing to the Internet of Things offers complete coverage of modern distributed computing technology including clusters, the grid, service-oriented architecture, massively parallel processors, peer-to-peer networking, and cloud computing. It is the first modern, up-to-date distributed systems textbook; it explains how to create high-performance, scalable, reliable systems, exposing the design principles, architecture, and innovative applications of parallel, distributed, and cloud computing systems. Topics covered by this book include: facilitating management, debugging, migration, and disaster recovery through virtualization; clustered systems for research or ecommerce applications; designing systems as web services; and social networking systems using peer-to-peer computing. The principles of cloud computing are discussed using examples from open-source and commercial applications, along with case studies from the leading distributed computing vendors such as Amazon, Microsoft, and Google. Each chapter includes exercises and further reading, with lecture slides and more available online. This book will be ideal for students taking a distributed systems or distributed computing class, as well as for professional system designers and engineers looking for a reference to the latest distributed technologies including cloud, P2P and grid computing

Distributed and Cloud Computing Clusters Grids Clouds and the Future of Internet 1st Edition Table of contents:

Chapter 1: Introduction to Distributed and Cloud Computing

• What is Distributed Computing?
• Overview of Cloud Computing
• Trends in Grid Computing and Virtualization
• Cloud Services: IaaS, PaaS, SaaS
• Applications of Distributed and Cloud Computing
• The Evolution of Distributed Systems

Chapter 2: Computing Clusters

• Definition of Computing Clusters
• Cluster Architecture and Components
• High-Performance Clusters vs. High-Availability Clusters
• Cluster Configuration and Management
• Interconnect Networks and Communication in Clusters
• Case Studies: Beowulf and Commodity Clusters

Chapter 3: Grid Computing

• What is Grid Computing?
• Grid Computing Architecture and Models
• Computational Grids vs. Data Grids
• Grid Scheduling and Resource Allocation
• Security and Authentication in Grid Systems
• Applications and Use Cases for Grid Computing

Chapter 4: Cloud Computing Fundamentals

• The Basic Concepts of Cloud Computing
• Cloud Service Models (IaaS, PaaS, SaaS)
• Cloud Deployment Models: Public, Private, Hybrid
• Key Characteristics of Cloud Computing
• Virtualization and Cloud Infrastructure
• Cloud Management and Automation

Chapter 5: Virtualization in Cloud Computing

• Introduction to Virtualization
• Virtual Machines and Hypervisors
• Resource Management and Virtualization Technologies
• Virtualization in Cloud Infrastructure
• Benefits and Challenges of Virtualization
• Containerization vs. Virtualization

Chapter 6: Cloud Storage and Data Management

• Cloud Storage Concepts and Models
• Data Replication and Redundancy in the Cloud
• Cloud Data Security and Privacy
• Distributed File Systems: HDFS, Ceph, and Others
• Data Management in Multi-Tenant Cloud Systems
• Big Data and Cloud Storage Solutions

Chapter 7: Cloud Computing Security

• Security Challenges in Cloud Environments
• Data Security, Encryption, and Key Management
• Identity and Access Management in the Cloud
• Security Policies and Compliance in Cloud Systems
• Attack Mitigation Strategies
• Cloud Security Standards and Frameworks

Chapter 8: Cloud Computing Performance and Scalability

• Performance Metrics in Cloud Environments
• Load Balancing and Resource Allocation
• Elasticity and Auto-Scaling in the Cloud
• Network Performance and Latency in Distributed Systems
• Quality of Service (QoS) in Cloud Computing
• Optimizing Cloud Performance for Large-Scale Applications

Chapter 9: Distributed Algorithms and Scheduling

• Introduction to Distributed Algorithms
• Task Scheduling and Load Balancing
• Consensus Algorithms in Distributed Systems
• MapReduce and Its Variants for Large-Scale Computing
• Cloud-Based Scheduling Algorithms
• Scheduling in Grid and Cloud Environments

Chapter 10: Service-Oriented Architecture and Cloud Services

• The Role of Service-Oriented Architecture (SOA) in Cloud Computing
• Web Services and Cloud APIs
• Microservices Architecture in the Cloud
• Cloud Service Brokers and Marketplace
• Managing Service Availability and Reliability
• Integrating Legacy Systems with Cloud Services

Chapter 11: Cloud Computing in the Real World

• Cloud Computing for Enterprises
• Cloud in Research and Academia
• Healthcare, Finance, and Government Applications
• Cloud for Small and Medium Enterprises (SMEs)
• Cloud in E-Commerce and Social Media Platforms
• Challenges and Opportunities in Adopting Cloud Computing

Chapter 12: Grids, Clouds, and the Internet of Things (IoT)

• The Relationship Between Grids, Clouds, and IoT
• Distributed Cloud for IoT Applications
• Cloud-Based Edge Computing and Fog Computing
• Real-Time Data Processing in Cloud and IoT Systems
• IoT-Cloud Interoperability and Integration Challenges
• Future Directions for Grids and IoT in Cloud Computing

Chapter 13: The Future of Cloud and Distributed Computing

• Trends Shaping the Future of Cloud Computing
• Edge Computing and Its Impact on Distributed Systems
• Quantum Computing and Its Role in Cloud Systems
• Autonomous Cloud Systems and Self-Healing Networks
• The Convergence of 5G and Cloud Technologies
• Ethical Considerations and Environmental Impact of Cloud Computing

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