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Designing and analyzing resource allocation based on grouped grid nodes

机译:基于分组网格节点的资源分配设计与分析

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Supervising and allocating resources in highly dynamic grid environment is an important issue. Tsai et al. proposed a non-grouped grid node model. With non-grouped model, the CPU consumption caused by supervising nodes would raise with the increasing number of nodes. To reduce the CPU consumption, we proposed a grouped grid node model in this study. We classified grid nodes into grouped nodes based on the specified CPU scales. Nodes only supervise and allocate resources on the other nodes in the same group, and supervising and allocating grouped resources is handles by group-agent nodes in each group. By implementing the proposed grouped grid node model, we have good performance.
机译:在高度动态的网格环境中管理和分配资源是一个重要的问题。蔡等人。提出了非分组网格节点模型。在非分组模型中,由监督节点引起的CPU消耗将随着节点数量的增加而增加。为了减少CPU消耗,我们在此研究中提出了分组网格节点模型。我们根据指定的CPU规模将网格节点分类为分组的节点。节点仅监督和分配同一组中其他节点上的资源,监督和分配分组资源由每个组中的组代理节点处理。通过实现建议的分组网格节点模型,我们具有良好的性能。

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