Titlebook: Distributed Computing; 22nd International S Gadi Taubenfeld Conference proceedings 2008 The Editor(s) (if applicable) and The Author(s), un

有作用

書目名稱Distributed Computing影響因子(影響力)




書目名稱Distributed Computing影響因子(影響力)學(xué)科排名




書目名稱Distributed Computing網(wǎng)絡(luò)公開度




書目名稱Distributed Computing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Distributed Computing被引頻次




書目名稱Distributed Computing被引頻次學(xué)科排名




書目名稱Distributed Computing年度引用




書目名稱Distributed Computing年度引用學(xué)科排名




書目名稱Distributed Computing讀者反饋




書目名稱Distributed Computing讀者反饋學(xué)科排名

說笑

碌碌之人

How to Solve Consensus in the Smallest Window of Synchronym? In answer to this question, we present the first optimally-resilient algorithm . that solves consensus . in an eventually synchronous system, i.e., a system that from some time . onwards, delivers messages in a timely fashion. . guarantees that, in an execution with at most . failures, every proc

花費(fèi)

Local Terminations and Distributed Computability in Anonymous Networkstable with ., i.e., a node knows when to stop to participate in a distributed algorithm, even though the algorithm is not necessarily terminated elsewhere. We also study ., that is when a node knows its final value but continues to execute the distributed algorithm, usually in order to provide infor

樂器演奏者

A Self-stabilizing Algorithm with Tight Bounds for Mutual Exclusion on a Ringf mutual exclusion on a ring of processors. In this work we present a new three state self-stabilizing algorithm for mutual exclusion, with a tight bound of . for the worst case complexity, which is the number of moves of the algorithm until it stabilizes. This bound is better than lower bounds of o

躺下殘殺

Fast Distributed Approximations in Planar Graphstching, and a minimum dominating set. The algorithms run in .(log.|.|) rounds. In addition, we prove that no faster deterministic approximation is possible and show that if randomization is allowed it is possible to beat the lower bound for deterministic algorithms.

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擴(kuò)音器

The Weakest Failure Detector for Message Passing Set-Agreement this problem in a message-passing system where processes may fail by crashing. This failure detector, called the . detector and denoted ., outputs one of two values, . or . such that: (1) there is at least one process where . outputs always ., and (2) if only one process is correct, . eventually ou

enterprise

Ceremony

: Resilient Random Regular Graphse presence of node additions and deletions. They must also have high resilience (connectivity). Typically, algorithms use offline techniques to build regular graphs with strict bounds on resilience and such techniques are not designed to maintain these properties in the presence of online additions,