Titlebook: Distributed Algorithms; 5th International Wo Sam Toueg,Paul G. Spirakis,Lefteris Kirousis Conference proceedings 1992 Springer-Verlag Berli

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书目名称Distributed Algorithms影响因子(影响力)




书目名称Distributed Algorithms影响因子(影响力)学科排名




书目名称Distributed Algorithms网络公开度




书目名称Distributed Algorithms网络公开度学科排名




书目名称Distributed Algorithms被引频次




书目名称Distributed Algorithms被引频次学科排名




书目名称Distributed Algorithms年度引用




书目名称Distributed Algorithms年度引用学科排名




书目名称Distributed Algorithms读者反馈




书目名称Distributed Algorithms读者反馈学科排名

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More on the power of random walks: Uniform self-stabilizing randomized algorithms,roblem in which each node in an anonymous network computes an exact description of the network‘s topology. Moreover these two protocols yield uniform and bounded space solutions to many other important problems such as . (.), etc.

Osteons

Accord

漫步

Introduction: Mainstreaming the Marginal,uns asynchronously, requires O(.) time per change and O(.) space per node..This result favorably compares to using the best known distributed algorithm for computing all pairs shortest paths from scratch, and to other dynamic distributed algorithms previously proposed in the literature.

漫步

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Pseudo read-modify-write operations: Bounded wait-free implementations,tion, and show that any object in this class can be implemented without waiting from atomic registers. The implementations that we present are polynomial in both space and time and thus are an improvement over previously published ones, all of which have unbounded space complexity.

推延

Optimal amortized distributed consensus,tized cost in all other measures: the number of communication rounds r., the maximal message size m., and the total bit complexity b...More specifically, we achieve the following amortized bounds for . consensus instances: r.=O(1 + t/k), b.=O(t.. t./k), and m.=O(1 + t./k). When . ≥ t., then r. and m. are O(1) and b.=O(t.) which is optimal.

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