Distributed Computing Principles Algorithms and Systems 1st Edition by Ajay Kshemkalyani, Mukesh Singhal ISBN 0511389337 9780511389337

Distributed Computing: Principles, Algorithms, and Systems 1st Edition by Ajay D. Kshemkalyani, Mukesh Singhal – Ebook PDF Instant Download/Delivery: 0511389337, 9780511389337

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Product details:

ISBN 10: 0511389337

ISBN 13: 9780511389337

Author:  Ajay D. Kshemkalyani, Mukesh Singhal 

Distributed Computing: Principles, Algorithms, and Systems 1st Edition: Designing distributed computing systems is a complex process requiring a solid understanding of the design problems and the theoretical and practical aspects of their solutions. This comprehensive textbook covers the fundamental principles and models underlying the theory, algorithms and systems aspects of distributed computing. Broad and detailed coverage of the theory is balanced with practical systems-related issues such as mutual exclusion, deadlock detection, authentication, and failure recovery. Algorithms are carefully selected, lucidly presented, and described without complex proofs. Simple explanations and illustrations are used to elucidate the algorithms. Important emerging topics such as peer-to-peer networks and network security are also considered. With vital algorithms, numerous illustrations, examples and homework problems, this textbook is suitable for advanced undergraduate and graduate students of electrical and computer engineering and computer science. Practitioners in data networking and sensor networks will also find this a valuable resource. Additional resources are available online at www.cambridge.org/9780521876346.

 

Distributed Computing: Principles, Algorithms, and Systems 1st Edition Table of contents:

Chapter 1: Introduction
Chapter 2: A model of distributed computations
Chapter 3: Logical time
Chapter 4: Global state and snapshot recording algorithms
Chapter 5: Terminology and basic algorithms
Chapter 6: Message ordering and group communication
Chapter 7: Termination detection
Chapter 8: Reasoning with knowledge
Chapter 9: Distributed mutual exclusion algorithms
Chapter 10: Deadlock detection in distributed systems
Chapter 11: Global predicate detection
Chapter 12: Distributed shared memory
Chapter 13: Checkpointing and rollback recovery
Chapter 14: Consensus and agreement algorithms
Chapter 15: Failure detectors
Chapter 16: Authentication in distributed systems
Chapter 17: Self-stabilization
Chapter 18: Peer-to-peer computing and overlay graphs

 

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