Distributed Systems Principles and Paradigms 2nd edition by Andrew Tanenbaum, Maarten van Steen ISBN 0132392275 978-0132392273

Distributed Systems: Principles and Paradigms 2nd edition by Andrew Tanenbaum, Maarten van Steen – Ebook PDF Instant Download/Delivery.  0132392275 978-0132392273
Full download Distributed Systems: Principles and Paradigms 2nd edition after payment

Product details:

ISBN 10: 0132392275
ISBN 13: 978-0132392273
Author:  Andrew Tanenbaum, Maarten van Steen

Virtually every computing system today is part of a distributed system. Programmers, developers, and engineers need to understand the underlying principles and paradigms as well as the real-world application of those principles. Now, internationally renowned expert Andrew S. Tanenbaum – with colleague Martin van Steen – presents a complete introduction that identifies the seven key principles of distributed systems, with extensive examples of each. Adds a completely new chapter on architecture to address the principle of organizing distributed systems. Provides extensive new material on peer-to-peer systems, grid computing and Web services, virtualization, and application-level multicasting. Updates material on clock synchronization, data-centric consistency, object-based distributed systems, and file systems and Web systems coordination. For all developers, software engineers, and architects who need an in-depth understanding of distributed systems.

Distributed Systems: Principles and Paradigms 2nd Table of contents:

Preface

• Acknowledgments
• About the Authors

---

Part I: Introduction

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. The Challenges of Distributed Systems
1.5. The Importance of Middleware
1.6. The Role of Communication in Distributed Systems
1.7. A Brief Overview of the Book

---

Part II: Communication in Distributed Systems

Chapter 2: Distributed Communication
2.1. The Concept of Communication in Distributed Systems
2.2. Communication Models: Message Passing
2.3. Remote Procedure Calls (RPCs)
2.4. Message-Oriented Middleware (MOM)
2.5. Synchronous vs. Asynchronous Communication
2.6. Communication Primitives and APIs
2.7. Communication in Practice: Examples

Chapter 3: Synchronization
3.1. The Need for Synchronization in Distributed Systems
3.2. Clock Synchronization Algorithms
3.3. Logical Clocks and Vector Clocks
3.4. Time and Ordering in Distributed Systems
3.5. Distributed Mutual Exclusion
3.6. Elections in Distributed Systems

---

Part III: Processes and Coordination

Chapter 4: Processes
4.1. The Concept of a Process in a Distributed System
4.2. Client-Server Model
4.3. Peer-to-Peer Systems
4.4. Process Synchronization and Coordination
4.5. Fault Tolerance and Process Recovery
4.6. Distributed Coordination in Practice

Chapter 5: Coordination and Agreement
5.1. The Need for Coordination in Distributed Systems
5.2. Coordination Models: Centralized vs. Decentralized
5.3. Distributed Consensus Algorithms
5.4. Paxos Algorithm
5.5. The Two-Phase Commit Protocol
5.6. Atomic Broadcast

---

Part IV: Fault Tolerance and Recovery

Chapter 6: Fault Tolerance
6.1. The Importance of Fault Tolerance in Distributed Systems
6.2. Types of Failures in Distributed Systems
6.3. Failure Detection
6.4. Replication Techniques for Fault Tolerance
6.5. Consensus and Agreement in Fault-Tolerant Systems
6.6. Building Fault-Tolerant Systems

Chapter 7: Distributed File Systems
7.1. The Role of File Systems in Distributed Systems
7.2. Features of Distributed File Systems
7.3. Transparency in File Systems
7.4. Case Study: The Network File System (NFS)
7.5. Fault Tolerance in Distributed File Systems

---

Part V: Security and Privacy

Chapter 8: Security in Distributed Systems
8.1. The Need for Security in Distributed Systems
8.2. Security Models and Policies
8.3. Cryptographic Techniques for Security
8.4. Authentication, Authorization, and Access Control
8.5. Secure Communication Protocols
8.6. Protecting Against Attacks in Distributed Systems

Chapter 9: Privacy and Trust
9.1. Privacy Issues in Distributed Systems
9.2. Trust Models
9.3. Privacy-Enhancing Technologies
9.4. Data Protection and Privacy Laws
9.5. Privacy in Distributed Applications

---

Part VI: Advanced Topics

Chapter 10: Distributed Algorithms
10.1. Fundamentals of Distributed Algorithms
10.2. Algorithms for Consensus and Agreement
10.3. Leader Election Algorithms
10.4. Distributed Mutual Exclusion Algorithms
10.5. Quorum Systems and Distributed Transactions

Chapter 11: Distributed Object Systems
11.1. Object-Oriented Programming and Distributed Systems
11.2. Remote Method Invocation (RMI)
11.3. Object Middleware: CORBA
11.4. Distributed Object Models: Java RMI, DCOM

Chapter 12: Distributed Systems in Practice
12.1. Cloud Computing and Distributed Systems
12.2. Peer-to-Peer (P2P) Systems
12.3. Content Distribution Networks (CDNs)
12.4. Distributed Data Stores and NoSQL Databases
12.5. Case Study: The Google File System

---

Part VII: Conclusion

Chapter 13: The Future of Distributed Systems
13.1. Emerging Trends and Technologies
13.2. The Role of Artificial Intelligence in Distributed Systems
13.3. The Impact of Blockchain on Distributed Systems
13.4. Challenges for the Future of Distributed Computing

---

Glossary

Index

People also search for Distributed Systems: Principles and Paradigms 2nd:

steen distributed systems principles and paradigms 2e

borrow distributed systems principles and paradigms

tanenbaum van steen distributed systems principles and paradigms 2e

distributed systems principles and paradigms pdf

distributed systems principles and paradigms 3rd edition pdf