Distributed computing: principles, algorithms, and systems
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 asp...
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| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2008
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| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Beschreibung: | 1 online resource (xvii, 736 pages) |
| ISBN: | 9780511805318 |
| DOI: | 10.1017/CBO9780511805318 |
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| 505 | 8 | |a Part I. Models and Foundations: 1. Introductions; 2. Classical distributed algorithms; 3. Formal models of distributed execution; 4. Logical time; 5. Physical time; 6. Global state and snapshot recoding algorithms; 7. Message ordering and group communication; 8. Reasining using knowledge; Part II. Observation and Synchronization: 9. Global predicate detection; 10. Termination detection; 11. Distributed mutual exclusion; 12. Distributed deadlock detection; 13. Shared memory; Part III. Handling Failures and Providing Fault-Tolerance: 14. Checkpoiting and failure recovery; 15. Self-stabilizing systems; 16. Consensus algorithms for agreement; 17. Failure detectors; Part IV. Topics of Emerging Importance: 18. Authentication and key-exchange; 19. Mobile computing systems; 20. Peer-to-peer computing; 21. Emerging distributed computing environments | |
| 520 | |a 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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Datensatz im Suchindex
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| author | Kshemkalyani, Ajay D. |
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| contents | Part I. Models and Foundations: 1. Introductions; 2. Classical distributed algorithms; 3. Formal models of distributed execution; 4. Logical time; 5. Physical time; 6. Global state and snapshot recoding algorithms; 7. Message ordering and group communication; 8. Reasining using knowledge; Part II. Observation and Synchronization: 9. Global predicate detection; 10. Termination detection; 11. Distributed mutual exclusion; 12. Distributed deadlock detection; 13. Shared memory; Part III. Handling Failures and Providing Fault-Tolerance: 14. Checkpoiting and failure recovery; 15. Self-stabilizing systems; 16. Consensus algorithms for agreement; 17. Failure detectors; Part IV. Topics of Emerging Importance: 18. Authentication and key-exchange; 19. Mobile computing systems; 20. Peer-to-peer computing; 21. Emerging distributed computing environments |
| ctrlnum | (ZDB-20-CBO)CR9780511805318 (OCoLC)992827788 (DE-599)BVBBV043942957 |
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| doi_str_mv | 10.1017/CBO9780511805318 |
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| spelling | Kshemkalyani, Ajay D. Verfasser aut Distributed computing principles, algorithms, and systems Ajay D. Kshemkalyani and Mukesh Singhal Cambridge Cambridge University Press 2008 1 online resource (xvii, 736 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) Part I. Models and Foundations: 1. Introductions; 2. Classical distributed algorithms; 3. Formal models of distributed execution; 4. Logical time; 5. Physical time; 6. Global state and snapshot recoding algorithms; 7. Message ordering and group communication; 8. Reasining using knowledge; Part II. Observation and Synchronization: 9. Global predicate detection; 10. Termination detection; 11. Distributed mutual exclusion; 12. Distributed deadlock detection; 13. Shared memory; Part III. Handling Failures and Providing Fault-Tolerance: 14. Checkpoiting and failure recovery; 15. Self-stabilizing systems; 16. Consensus algorithms for agreement; 17. Failure detectors; Part IV. Topics of Emerging Importance: 18. Authentication and key-exchange; 19. Mobile computing systems; 20. Peer-to-peer computing; 21. Emerging distributed computing environments 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 Datenverarbeitung Electronic data processing / Distributed processing Verteiltes System (DE-588)4238872-7 gnd rswk-swf 1\p (DE-588)4123623-3 Lehrbuch gnd-content Verteiltes System (DE-588)4238872-7 s 2\p DE-604 Singhal, Mukesh Sonstige oth Erscheint auch als Druckausgabe 978-0-521-18984-2 Erscheint auch als Druckausgabe 978-0-521-87634-6 https://doi.org/10.1017/CBO9780511805318 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Kshemkalyani, Ajay D. Distributed computing principles, algorithms, and systems Part I. Models and Foundations: 1. Introductions; 2. Classical distributed algorithms; 3. Formal models of distributed execution; 4. Logical time; 5. Physical time; 6. Global state and snapshot recoding algorithms; 7. Message ordering and group communication; 8. Reasining using knowledge; Part II. Observation and Synchronization: 9. Global predicate detection; 10. Termination detection; 11. Distributed mutual exclusion; 12. Distributed deadlock detection; 13. Shared memory; Part III. Handling Failures and Providing Fault-Tolerance: 14. Checkpoiting and failure recovery; 15. Self-stabilizing systems; 16. Consensus algorithms for agreement; 17. Failure detectors; Part IV. Topics of Emerging Importance: 18. Authentication and key-exchange; 19. Mobile computing systems; 20. Peer-to-peer computing; 21. Emerging distributed computing environments Datenverarbeitung Electronic data processing / Distributed processing Verteiltes System (DE-588)4238872-7 gnd |
| subject_GND | (DE-588)4238872-7 (DE-588)4123623-3 |
| title | Distributed computing principles, algorithms, and systems |
| title_auth | Distributed computing principles, algorithms, and systems |
| title_exact_search | Distributed computing principles, algorithms, and systems |
| title_full | Distributed computing principles, algorithms, and systems Ajay D. Kshemkalyani and Mukesh Singhal |
| title_fullStr | Distributed computing principles, algorithms, and systems Ajay D. Kshemkalyani and Mukesh Singhal |
| title_full_unstemmed | Distributed computing principles, algorithms, and systems Ajay D. Kshemkalyani and Mukesh Singhal |
| title_short | Distributed computing |
| title_sort | distributed computing principles algorithms and systems |
| title_sub | principles, algorithms, and systems |
| topic | Datenverarbeitung Electronic data processing / Distributed processing Verteiltes System (DE-588)4238872-7 gnd |
| topic_facet | Datenverarbeitung Electronic data processing / Distributed processing Verteiltes System Lehrbuch |
| url | https://doi.org/10.1017/CBO9780511805318 |
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