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Distributed systems : an algorithmic approach / Sukumar Ghosh.

By: Material type: TextTextSeries: Chapman & Hall/CRC computer & information science seriesPublication details: Boca Raton : CRC Press, c2015.Edition: 2nd edDescription: xxix, 526 p. : ill. ; 26 cmISBN:
  • 9781466552975 (hardback : acidfree paper)
Subject(s): DDC classification:
  • 004.36 23 G427
Contents:
Chapter 1. Introduction-- Chapter 2. Interprocess communication: an overview-- Chapter 3. Models for communication-- Chapter 4. Representing distributed algorithms: syntax and semantics-- Chapter 5. Program correctness-- Chapter 6. Time in a distributed system-- Chapter 7. Mutual exclusion-- Chapter 8. Distributed snapshot-- Chapter 9. Global state collection-- Chapter 10. Graph algorithms-- Chapter 11. Goordination algorithms-- Chapter 12. Fault-Tolerant systems-- Chapter 13. Distributed consensus-- Chapter 14. Distributed transactions-- Chapter 15. Group communication-- Chapter 16. Replicated data management-- Chapter 17. Self-stabilizing systems-- Chapter 18. Distributed discrete-event simulation-- Chapter 19. Security in distributed systems-- Chapter 20. Sensor networks-- Chapter 21. Social and peer-to-peer networks-- References-- Index.
Summary: This book provides a balanced and straightforward treatment of the underlying theory and practical applications of distributed computing. As in the previous version, the language is kept as unobscured as possible―clarity is given priority over mathematical formalism. This easily digestible text: •Features significant updates that mirror the phenomenal growth of distributed systems •Explores new topics related to peer-to-peer and social networks •Includes fresh exercises, examples, and case studies Supplying a solid understanding of the key principles of distributed computing and their relationship to real-world applications, Distributed Systems: An Algorithmic Approach, Second Edition makes both an ideal textbook and a handy professional reference.
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Includes bibliographical references and index.

Chapter 1. Introduction--
Chapter 2. Interprocess communication: an overview--
Chapter 3. Models for communication--
Chapter 4. Representing distributed algorithms: syntax and semantics--
Chapter 5. Program correctness--
Chapter 6. Time in a distributed system--
Chapter 7. Mutual exclusion--
Chapter 8. Distributed snapshot--
Chapter 9. Global state collection--
Chapter 10. Graph algorithms--
Chapter 11. Goordination algorithms--
Chapter 12. Fault-Tolerant systems--
Chapter 13. Distributed consensus--
Chapter 14. Distributed transactions--
Chapter 15. Group communication--
Chapter 16. Replicated data management--
Chapter 17. Self-stabilizing systems--
Chapter 18. Distributed discrete-event simulation--
Chapter 19. Security in distributed systems--
Chapter 20. Sensor networks--
Chapter 21. Social and peer-to-peer networks--
References--
Index.

This book provides a balanced and straightforward treatment of the underlying theory and practical applications of distributed computing. As in the previous version, the language is kept as unobscured as possible―clarity is given priority over mathematical formalism. This easily digestible text:
•Features significant updates that mirror the phenomenal growth of distributed systems
•Explores new topics related to peer-to-peer and social networks
•Includes fresh exercises, examples, and case studies

Supplying a solid understanding of the key principles of distributed computing and their relationship to real-world applications, Distributed Systems: An Algorithmic Approach, Second Edition makes both an ideal textbook and a handy professional reference.

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