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首页> 外文期刊>Journal of network and computer applications >Adaptive hierarchical scheduling policy for enterprise grid computing systems
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Adaptive hierarchical scheduling policy for enterprise grid computing systems

机译：企业网格计算系统的自适应分层调度策略

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摘要

In an enterprise grid computing environments, users have access to multiple resources that may be distributed geographically. Thus, resource allocation and scheduling is a fundamental issue in achieving high performance on enterprise grid computing. Most of current job scheduling systems for enterprise grid computing provide batch queuing support and focused solely on the allocation of processors to jobs. However, since I/O is also a critical resource for many jobs, the allocation of processor and I/O resources must be coordinated to allow the system to operate most effectively. To this end, we present a hierarchical scheduling policy paying special attention to I/O and service-demands of parallel jobs in homogeneous and heterogeneous systems with background workload. The performance of the proposed scheduling policy is studied under various system and workload parameters through simulation. We also compare performance of the proposed policy with a static space-time sharing policy. The results show that the proposed policy performs substantially better than the static space-time sharing policy.
机译：在企业网格计算环境中，用户可以访问可能在地理上分布的多个资源。因此，资源分配和调度是在企业网格计算上实现高性能的基本问题。当前用于企业网格计算的大多数作业调度系统都提供批处理排队支持，并且仅专注于将处理器分配给作业。但是，由于I / O也是许多作业的关键资源，因此必须协调处理器和I / O资源的分配，以使系统最有效地运行。为此，我们提出了一种分层调度策略，该策略特别注意具有后台工作负载的同构和异构系统中并行作业的I / O和服务需求。通过仿真研究了在各种系统和工作负载参数下所提出的调度策略的性能。我们还将提议的策略的性能与静态时空共享策略进行比较。结果表明，所提出的策略比静态时空共享策略具有更好的性能。

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