Distributed algorithms : an intuitive approach / Wan Fokkink.
Material type:
TextPublication details: Cambridge : MIT Press, 2013.Description: x, 231 p. ; 24 cmISBN: - 9780262026772 (hardcover : alk. paper)
- 004.36 23 F662
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 004.36 F662 (Browse shelf(Opens below)) | Available | 135706 |
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| 004.36 F499 Oracle power objects developer's guide | 004.36 F499 Oracle power objects developer's guide | 004.36 F662 Modelling distributed systems | 004.36 F662 Distributed algorithms : | 004.36 G231 Elements of distributed computing | 004.36 G352 Do-all computing in distributed systems | 004.36 G411 Data Reduction Using EM Algorithm with Deliberately Introduced Missingness/ |
Includes bibliographical references (pages [221]-224) and index.
1. introduction--
2. Preliminaries--
3. Snapshots--
4. Waves--
5. Deadlock detection--
6. Termination detection--
7. Garbage collection--
8. Routing--
9. Election--
10. Anonymous networks--
11. Synchronous networks--
12.Crash failures--
13. Byzantine failures--
14. Mutual exclusion--
15. Preliminaries--
16. Mutual exclusion II--
17. Barriers--
18. Self-stabilization--
19. Online scheduling--
Pseudocode descriptions--
References--
Index.
"This book offers students and researchers a guide to distributed algorithms that emphasizes examples and exercises rather than the intricacies of mathematical models. It avoids mathematical argumentation, often a stumbling block for students, teaching algorithmic thought rather than proofs and logic. This approach allows the student to learn a large number of algorithms within a relatively short span of time. Algorithms are explained through brief, informal descriptions, illuminating examples, and practical exercises. The examples and exercises allow readers to understand algorithms intuitively and from different perspectives. Proof sketches, arguing the correctness of an algorithm or explaining the idea behind fundamental results, are also included. An appendix offers pseudocode descriptions of many algorithms. Distributed algorithms are performed by a collection of computers that send messages to each other or by multiple software threads that use the same shared memory. The algorithms presented in the book are for the most part "classics, " selected because they shed light on the algorithmic design of distributed systems or on key issues in distributed computing and concurrent programming. Distributed Algorithms be used in courses for upper-level undergraduates or graduate students in computer science, or as a reference for researchers in the field."
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