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Distributed Algorithms读书介绍

类别 页数 译者 网友评分 年代 出版社
书籍 904页 9.2 2020 Morgan Kaufmann
定价 出版日期 最近访问 访问指数
USD 155.00 2020-02-20 … 2020-12-15 … 20
主题/类型/题材/标签
分布式,算法,Distributed,计算机科学,algorithm,DistributedSystem,计算机,经典,
作者
Nancy A. Lynch      ISBN:9781558603486    原作名/别名:《》
内容和作者简介
Distributed Algorithms摘要

In "Distributed Algorithms", Nancy Lynch provides a blueprint for designing, implementing, and analyzing distributed algorithms. She directs her book at a wide audience, including students, programmers, system designers, and researchers. "Distributed Algorithms" contains the most significant algorithms and impossibility results in the area, all in a simple automata-theoretic se...

作者简介

In "Distributed Algorithms", Nancy Lynch provides a blueprint for designing, implementing, and analyzing distributed algorithms. She directs her book at a wide audience, including students, programmers, system designers, and researchers. "Distributed Algorithms" contains the most significant algorithms and impossibility results in the area, all in a simple automata-theoretic setting. The algorithms are proved correct, and their complexity is analyzed according to precisely defined complexity measures. The problems covered include resource allocation, communication, consensus among distributed processes, data consistency, deadlock detection, leader election, global snapshots, and many others. The material is organized according to the system model-first by the timing model and then by the interprocess communication mechanism. The material on system models is isolated in separate chapters for easy reference. The presentation is completely rigorous, yet is intuitive enough for immediate comprehension. This book familiarizes readers with important problems, algorithms, and impossibility results in the area: readers can then recognize the problems when they arise in practice, apply the algorithms to solve them, and use the impossibility results to determine whether problems are unsolvable. The book also provides readers with the basic mathematical tools for designing new algorithms and proving new impossibility results. In addition, it teaches readers how to reason carefully about distributed algorithms - to model them formally, devise precise specifications for their required behavior, prove their correctness, and evaluate their performance with realistic measures.

本书后续版本
未发行或暂未收录
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