Distributed Computing: Principles, Algorithms, and Systems
Abstract
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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Parallel and distributed computing strategies can help mitigate the computational challenges of WGA to some extent.
“The implementation of parallel and distributed computing strategies can help mitigate these challenges to some extent.”
From Whole-Genome Alignment: Methods, Challenges, and Future Directions (2024) · cites this paper as [78]
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The Simcyp <sup>®</sup> Population-based ADME Simulator
Jamei, M., Marciniak, S., Feng, K., Barnett, A., Tucker, G., & Rostami-Hodjegan, A. (2009) · Expert Opinion on Drug Metabolism & Toxicology · doi:10.1517/17425250802691074 · Cited by 533 · see citing works
Whole-Genome Alignment: Methods, Challenges, and Future Directions
Saada, B., Zhang, T., Siga, E., Zhang, J., & Magalhães Muniz, M. M. (2024) · Applied Sciences · doi:10.3390/app14114837 · Cited by 15 · see citing works
- Authors
- Kshemkalyani, A. D., & Singhal, M.
- Affiliations
- University of Illinois Chicago (US)
- University of Kentucky (US)
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 2008-04-17
- OpenAlex
- W1532908479
- Cited by
- 333
- References
- 0
- Citations by year
- 2026: 1 · 2025: 8 · 2024: 5 · 2023: 7 · 2022: 13 · 2021: 31 · 2020: 28 · 2019: 23 · 2018: 25 · 2017: 24 · 2016: 23 · 2015: 32 · 2014: 23 · 2013: 21 · 2012: 19
- FWCI
- 9.73
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Cambridge University Press eBooks (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Distributed systems and fault tolerance
- Physical Sciences › Computer Science › Computer Networks and Communications › Distributed and Parallel Computing Systems
- Physical Sciences › Computer Science › Computer Networks and Communications › Peer-to-Peer Network Technologies
- Keywords
- distributed computing, distributed algorithms, distributed system design, mutual exclusion, deadlock detection, authentication, fault recovery, peer-to-peer networks, network security, sensor networks, data networking
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