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A dependable Peer-to-Peer computing platform

delete2007-11-01
delete1
PRE
AI
王宏 (Hong Wang)
H
Hiroyuki Takizawa
H
Hiroaki Kobayashi *
DOI:10.1016/j.future.2007.03.004delete
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Abstract

Abstract

En 中文
This paper discusses a dependable and widely applicable Peer-to-Peer (P2P) computing platform. As the existing P2P computing platforms are limited due to the lack of support for various computational models, this paper proposes a workflow management mechanism to support task dependency in parallel programs while increasing computing efficiency. In general, task dependency leads to a serious performance degradation for failed task re-execution because of volatile peers. Therefore, it results in low dependability. Here, dependability is defined as a comparison of the actual performance with task failures to the theoretical one without failure on a P2P computing platform. Redundant task dispatch and a ruintime optimization method are proposed to guarantee high dependability even with highly volatile peers. Large-scale simulation results indicate that the computing platform efficiently solves the problem of P2P computing due to volatile peers. (c) 2007 Elsevier B.V. All rights reserved.
Keywords:
Peer-to-Peer
workflow management
redundant task dispatch
runtime optimization

Journal

F
Future Generation Computer Systems-The International Journal of eScience
IF:
6.1
Papers:
6.8K
Citations:
2.3W

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