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...
Comprehensive textbook covering the fundamental principles and models underlying the theory, algorithms and systems aspects of distributed computing. For advanced undergraduate and graduate students of electrical and computer engineering and computer science. Also of interest to practitioners in data networking, wireless networking, and sensor networks. Additional resources online: www.cambridge.org/9780521876346.
Mukesh Singhal is Full Professor and Gartner Group Endowed Chair in Network Engineering in the Department of Computer Science at the University of Kentucky. He was awarded his PhD in Computer Science in 1986 from the University of Maryland, College Park. In 2003, he received the IEEE Technical Achievement Award, and currently serves on the editorial boards for the IEEE Transactions on Parallel and Distributed Systems and the...
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