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Transparent resource allocation to exploit idle cluster nodes in computational grids

机译:透明资源分配以利用计算网格中的空闲群集节点

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Clusters of workstations are one of the most suitable resources to assist e-scientists in the execution of large-scale experiments that demand processing power. The utilization rate of these machines is usually far from 100%, and hence this should motivate administrators to share their clusters to grid communities. However, exploiting these resources in computational grids is challenging and brings several problems. This paper presents a transparent resource allocation strategy to harness idle cluster resources aimed at executing grid applications. This novel approach does not make use of a formal allocation request to cluster resource managers. Moreover, it does not interfere with local cluster users, being non-intrusive, and hence motivating cluster administrators to publish their resources to grid communities. We present experimental results regarding the effects of the proposed strategy on the attendance time of both cluster and grid requests and we also analyze its effectiveness in clusters with different utilization rates.
机译:工作站集群是最合适的资源之一,以协助电子科学家在执行加工能力的大规模实验中的执行中。这些机器的利用率通常远非100%,因此这应该激励管理人员将其集群与网格社区分享。然而,利用计算网格中的这些资源挑战并带来了几个问题。本文提出了一种透明的资源分配策略,用于利用旨在执行网格应用程序的空闲群集资源。这种新颖的方法不会利用对群集资源管理器的正式分配请求。此外,它不会干扰本地群集用户,是非侵入性的,因此激励群集管理员将其资源发布到网格社区。我们提出了关于拟议策略对群集和网格请求的出席时间的影响的实验结果,我们还分析了具有不同利用率的集群的有效性。

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