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Titlebook: Distributed Computing; 26th International S Marcos K. Aguilera Conference proceedings 2012 Springer-Verlag Berlin Heidelberg 2012 distribut

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发表于 2025-3-21 18:29:13 | 显示全部楼层 |阅读模式
书目名称Distributed Computing
副标题26th International S
编辑Marcos K. Aguilera
视频video
概述Fast track conference proceedings.Unique visibility.State of the art research
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Distributed Computing; 26th International S Marcos K. Aguilera Conference proceedings 2012 Springer-Verlag Berlin Heidelberg 2012 distribut
描述This book constitutes the refereed proceedings of the 26th International Symposium on Distributed Computing, DISC 2012, held in Salvador, Brazil, in October 2012. .The 27 revised full papers presented together with 24 brief announcements were carefully reviewed and selected from 119 submissions. The papers are organized in topical sections on shared memory, mobile agents and overlay networks, wireless and multiple access channel networks, dynamic networks, distributed graph algorithms, wireless and loosely connected networks, robots, and lower bounds and separation.
出版日期Conference proceedings 2012
关键词distributed optimization; fault tolerance; oblivious robots; synchronization; wireless networks; algorith
版次1
doihttps://doi.org/10.1007/978-3-642-33651-5
isbn_softcover978-3-642-33650-8
isbn_ebook978-3-642-33651-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2012
The information of publication is updating

书目名称Distributed Computing影响因子(影响力)




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




书目名称Distributed Computing网络公开度




书目名称Distributed Computing网络公开度学科排名




书目名称Distributed Computing被引频次




书目名称Distributed Computing被引频次学科排名




书目名称Distributed Computing年度引用




书目名称Distributed Computing年度引用学科排名




书目名称Distributed Computing读者反馈




书目名称Distributed Computing读者反馈学科排名




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https://doi.org/10.1057/9781137373809ne networks. We give a 2-competitive distributed algorithm achieving convergecast for tree networks. The competitive ratio of 2 is proved to be the best possible for this problem, even if we only consider line networks. We show that already for the case of tree networks the centralized problem is st
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The Entrepreneurial Rise in Southeast Asiahen tested on typical pub/sub workloads, the speedup observed was by a factor of over 1 000, thereby rendering the algorithms more suitable for practical use. For example, under a typically Zipf distributed pub/sub workload, with 1 000 nodes and 100 topics, our new implementation completes in 3.823
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https://doi.org/10.1057/9781137373809of nodes in the whole network. The core of the construction is a novel combinatorial structure called SINR-selector, which is introduced in this paper. We demonstrate the power of the backbone data structure by using it for obtaining efficient . round and . round deterministic distributed solutions
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Yolanda Martínez-San Miguel,Sarah Tobias..If nodes are allowed to forward . ≤ . tokens instead of only one token in every round, a straight-forward extension of the .(.) algorithm disseminates all . tokens in time .(./.). We show that for any randomized token-forwarding algorithm, Ω(. + ./(..log.loglog.)) rounds are necessary. If nodes ca
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https://doi.org/10.1007/978-94-6265-507-2ot require such global knowledge dependent initialization. In more details, we give a methodology to determine whether a set of nodes will always deliver the authentic message, in any execution. Then, we give conditions for perfect reliable broadcast in a torus network. Finally, we provide experimen
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