Distributed Computing

Principles, Algorithms, and Systems

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Paperback | 3 March 2011

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756 Pages

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24.61 x 18.9 x 3.84

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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.

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Introduction
A model of distributed computations
Logical time
Global state and snapshot recording algorithms
Terminology and basic algorithms
Message ordering and group communication
Termination detection
Reasoning with knowledge
Distributed mutual exclusion algorithms
Deadlock detection in distributed systems
Global predicate detection
Distributed shared memory
Checkpointing and rollback recovery
Consensus and agreement algorithms
Failure detectors
Authentication in distributed system
Self-stabilization
Peer-to-peer computing and overlay graphs
Index
Table of Contents provided by Publisher. All Rights Reserved.

Distributed Computing

Principles, Algorithms, and Systems

At a Glance

Paperback

Shipping

How to return your order

Defective items

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