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A dependable Peer-to-Peer computing platform

机译:可靠的对等计算平台

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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 runtime 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.
机译:本文讨论了一个可靠且广泛适用的对等(P2P)计算平台。由于现有的P2P计算平台由于缺乏对各种计算模型的支持而受到限制,因此本文提出了一种工作流管理机制,以支持并行程序中的任务依赖性,同时提高计算效率。通常,由于对等对象不稳定,任务相关性会导致失败的任务重新执行而导致严重的性能下降。因此,这导致低可靠性。在这里,可靠性定义为在P2P计算平台上,具有任务失败的实际性能与理论上没有失败的性能之间的比较。提出了冗余任务分配和运行时优化方法,以确保即使在高度易变的同位体中也具有高可靠性。大规模的仿真结果表明,该计算平台有效地解决了由于对等方易变而导致的P2P计算问题。

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