Distributed Computing: Principles, Algorithms, and Systems

1817

收藏 2015-07-20

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
Editorial ReviewsBook DescriptionComprehensive 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.

About the AuthorAjay D. Kshemkalyani is an associate professor in the Department of Computer Science, at the University of Illinois at Chicago. He was awarded his PhD in Computer and Information Science in 1991 from The Ohio State University. Before moving to academia, he spent several years working on computer networks at IBM Research Triangle Park. In 1999, he received the National Science Foundation's CAREER Award. He is a senior member of the IEEE, and his principal areas of research include distributed computing, algorithms, computer networks, and concurrent systems. He currently serves on the editorial board of Computer Networks. 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 IEEE Transactions on Computers. He is a Fellow of the IEEE, and his principal areas of research include distributed systems, computer networks, wireless and mobile computing systems, performance evaluation, and computer security. --This text refers to an out of print or unavailable edition of this title.