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Distributed Computing

Distributed Computing

Distributed Computing

Principles, Algorithms, and Systems
Ajay D. Kshemkalyani, University of Illinois, Chicago
Mukesh Singhal, University of Kentucky
March 2011
Paperback
9780521189842
£50.99
GBP
Paperback
USD
eBook

    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.

    • Fundamental principles are supported using practical algorithms from real-world applications
    • Covers emerging topics such as sensor networks, peer-to-peer computing, mobile computing and network security
    • Contains worked examples and homework problems, with instructor solutions and lecture slides available online at www.cambridge.org/9780521876346
    • Numerous illustrations with small figures in the margin, and intuitive ideas help to make difficult concepts more accessible

    Product details

    May 2008
    Adobe eBook Reader
    9780511389337
    0 pages
    0kg
    This ISBN is for an eBook version which is distributed on our behalf by a third party.

    Table of Contents

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