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Distributed Computing
Principles, Algorithms, and Systems

$78.99 (X)

  • Date Published: March 2011
  • availability: Available
  • format: Paperback
  • isbn: 9780521189842

$ 78.99 (X)

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About the Authors
  • 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

    • 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
    • Numerous illustrations with small figures in the margin, and intuitive ideas help to make difficult concepts more accessible
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    Product details

    • Date Published: March 2011
    • format: Paperback
    • isbn: 9780521189842
    • length: 756 pages
    • dimensions: 246 x 189 x 38 mm
    • weight: 1.45kg
    • availability: Available
  • 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

  • Resources for

    Distributed Computing

    Ajay D. Kshemkalyani, Mukesh Singhal

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  • Instructors have used or reviewed this title for the following courses

    • Advanced Operating Systems
  • Authors

    Ajay D. Kshemkalyani, University of Illinois, Chicago

    Mukesh Singhal, University of Kentucky

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