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ISBN 10: 0321263545
ISBN 13: 978-0321263544
Author: Jean Dollimore, Tim Kindberg, George Coulouris
Provides a broad and up-to-date account of the principles and practice of distributed system design.
Distributed Systems: Concepts and Design 4th Table of contents:
Preface
Acknowledgments
About the Authors
Part I: Introduction and Background
Chapter 1: Introduction to Distributed Systems
1.1. What Is a Distributed System?
1.2. Examples of Distributed Systems
1.3. Key Characteristics of Distributed Systems
1.4. Challenges in Distributed Systems
1.5. Architectures for Distributed Systems
1.6. Application Areas of Distributed Systems
1.7. Structure of the Book
Part II: Architectures for Distributed Systems
Chapter 2: System Models
2.1. Types of Distributed Systems
2.2. Client-Server Model
2.3. Peer-to-Peer Systems
2.4. Distributed Objects and Middleware
2.5. Software Architectures in Distributed Systems
2.6. Virtualization and Cloud Computing
2.7. Case Study: The Internet
Chapter 3: Communication in Distributed Systems
3.1. Communication Primitives
3.2. Message Passing
3.3. Remote Procedure Call (RPC)
3.4. Client-Server Communication
3.5. Web Services
3.6. Middleware
3.7. Performance of Distributed Communication
Part III: Processes and Synchronization
Chapter 4: Processes in Distributed Systems
4.1. Processes and Threads
4.2. The Client-Server Model
4.3. Process Migration and Virtualization
4.4. Synchronization of Processes
4.5. Communication between Processes
4.6. Process Coordination and Deadlock
Chapter 5: Synchronization and Coordination
5.1. Clock Synchronization
5.2. Logical Clocks
5.3. Global State and Snapshots
5.4. Distributed Mutual Exclusion
5.5. Coordination and Consensus Algorithms
5.6. Fault-Tolerant Synchronization
Part IV: Fault Tolerance and Reliability
Chapter 6: Fault Tolerance
6.1. The Importance of Fault Tolerance
6.2. Types of Failures
6.3. Fault Detection
6.4. Fault Recovery
6.5. Replication and Redundancy
6.6. Consistency and Availability
6.7. Case Study: Highly Available Systems
Chapter 7: Security in Distributed Systems
7.1. Security in Distributed Environments
7.2. Authentication, Authorization, and Access Control
7.3. Cryptography
7.4. Secure Communication Protocols
7.5. Secure Distributed Systems
7.6. Case Study: Secure Web Applications
Part V: Distributed File Systems and Databases
Chapter 8: Distributed File Systems
8.1. Characteristics of Distributed File Systems
8.2. File Service and Storage Models
8.3. Transparency in Distributed File Systems
8.4. Distributed File System Protocols (e.g., NFS, AFS)
8.5. Case Study: The Google File System
Chapter 9: Distributed Databases
9.1. Database Models in Distributed Systems
9.2. Data Distribution and Replication
9.3. Transactions and Concurrency Control
9.4. Distributed Query Processing
9.5. Consistency and Atomicity
9.6. Case Study: NoSQL and Big Data
Part VI: Advanced Topics
Chapter 10: Middleware
10.1. The Role of Middleware in Distributed Systems
10.2. Distributed Object Middleware (CORBA, Java RMI)
10.3. Web Middleware (SOAP, REST)
10.4. Event-based and Message-based Middleware
10.5. Case Study: Cloud Computing Middleware
Chapter 11: Distributed Algorithms
11.1. Fundamentals of Distributed Algorithms
11.2. Agreement and Consensus Algorithms
11.3. Distributed Mutual Exclusion
11.4. Voting and Atomic Broadcast
11.5. Quorum Systems and Replication
11.6. Case Study: The Paxos Algorithm
Chapter 12: Distributed Resource Management
12.1. Resource Allocation and Scheduling
12.2. Load Balancing
12.3. Distributed File and Resource Management
12.4. Cloud Resource Management
12.5. Virtualization and Containerization in Distributed Systems
Part VII: Case Studies and Real-World Systems
Chapter 13: Case Studies of Distributed Systems
13.1. The World Wide Web
13.2. Google’s Distributed Infrastructure
13.3. The Domain Name System (DNS)
13.4. Peer-to-Peer Systems (e.g., BitTorrent)
13.5. Cloud Computing Platforms (e.g., Amazon AWS)
13.6. Distributed Storage Systems (e.g., Dropbox, Google Drive)
Part VIII: Conclusion and Future Trends
Chapter 14: Future Trends in Distributed Systems
14.1. The Rise of Cloud Computing
14.2. Edge Computing and Internet of Things (IoT)
14.3. Blockchain and Distributed Ledgers
14.4. Machine Learning in Distributed Systems
14.5. Quantum Computing and Distributed Systems
Glossary
Index
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