利用信任减少开放式桌面网格系统中的浪费计算

Lukas Klejnowski, Yvonne Bernard, C. Müller-Schloer, J. Hähner
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引用次数: 2

摘要

在本文中,我们提出了一个开放的基于多智能体的桌面网格系统,该系统提高了合作客户端的性能,同时降低了非合作客户端的性能,作为对良好行为的激励。这是通过基于信任的工作客户端和工人算法实现的,这些算法考虑了代理之间的可信度和可靠性经验的本地和全局历史,以及它们的当前状态。我们通过仿真结果表明,通过应用标准桌面网格性能指标并在系统受到不同数量干扰的几种情况下评估系统,这些算法提供了性能提升。在本文中,我们关注最小化浪费计算的任务,从而增加代理参与网格的利益。
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Using Trust to reduce wasteful computation in open Desktop Grid Systems
In this paper we present an open multi-agent based Desktop Grid System that improves the performance of cooperative clients while decreasing the performance of non-cooperative clients as an incentive for good conduct. This is achieved by trust-based job client and worker algorithms that take into account the local and global history of the credibility and reliability experiences between agents, as well as their current state. We show with simulation results that the algorithms provide performance increases by applying standard Desktop Grid performance metrics and evaluating the system in several scenarios with a varying number of disturbances to the system. In this paper, we focus on the task of minimising wasteful computation and thus increasing the benefit of grid participation for the agents.
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