一种新的并行作业网格资源协同分配模型

Xiaohui Wei, Zhaohui Ding, Shaocheng Xing, Y. Yuan, W. Li
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引用次数: 3

摘要

网格中的资源分布在多个自治域中。因此,由于局部域策略的多样性和动态的资源工作负载,在网格中执行资源协同分配总是一个耗时的过程,特别是对于并行作业。更糟糕的是,多个并行作业之间的资源竞争可能导致资源分配死锁。提出了一种新的跨域并行作业同步资源协同分配模型——虚拟作业模型(VJM)。VJM使用虚拟作业为实际并行作业共同预留最早可用的资源,同时考虑多个域中的本地资源策略和当前资源可用性。在VJM中实现的协同保留算法不仅能够检测潜在的死锁,而且能够通过资源重组机制缓解资源竞争。最后,我们通过实验证明了VJM能够显著降低资源协同分配的时间成本。
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VJM: A Novel Grid Resource Co-Allocation Model for Parallel Jobs
The resources in a grid are distributed in multiple autonomic domains. Hence, itpsilas always a time consuming process to perform the resource co-allocation in grids especially for parallel jobs due to the diversity of local domain policies and the dynamic resource workloads. Even worse, the resource competing among multiple parallel jobs may result in resource allocation deadlock. In this paper, a novel synchronized resource co-allocation model for cross-domain parallel jobs, called virtual job model (VJM), is proposed. VJM uses virtual jobs to co-reserve the earliest available resources for real parallel jobs with considering the local resource policies and the current resource availability in multiple domains. The co-reservation algorithm implemented in VJM is not only able to detect potential deadlocks, but able to relieve the resource competing via the resource reorganization mechanism. At last, we demonstrate that VJM is able to reduce the time cost of resource co-allocation significantly via experiments.
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