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

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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:

• Introduction to Distributed Systems

  • Basic concepts and definitions
  • Examples of distributed systems
  • Challenges in building distributed systems

• Communication in Distributed Systems

  • Inter-process communication
  • Message passing and remote procedure calls (RPC)
  • Sockets and communication protocols

• Synchronization and Coordination

  • Clock synchronization
  • Distributed mutual exclusion
  • Coordination between processes

• Fault Tolerance and Reliability

  • Replication and consistency
  • Fault-tolerant protocols
  • Recovery mechanisms in distributed systems

• Distributed Algorithms

  • Consensus algorithms
  • Distributed election algorithms
  • Distributed data management and consistency

• Distributed File Systems

  • Design and architecture of distributed file systems
  • Fault tolerance and replication in file systems
  • Case studies (e.g., NFS, Google File System)

• Distributed Databases

  • Distributed database models
  • Query processing and optimization in distributed systems
  • Consistency, availability, and partition tolerance (CAP theorem)

• Security in Distributed Systems

  • Authentication and authorization
  • Cryptographic techniques for secure communication
  • Security challenges in distributed computing

• Case Studies and Applications

  • Distributed systems in practice (e.g., cloud computing, peer-to-peer networks)
  • Examples of large-scale distributed systems

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