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A novel approach to allocating QoS-constrained workflow-based jobs in a multi-cluster grid

机译:一种在多集群网格中分配Qos约束的基于工作流的作业的新方法

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摘要

Clusters are increasingly interconnected to form multi-cluster systems, which are becoming popular for scientific computation. Grid users often submit their applications in the form of workflows with certain Quality of Service (QoS) requirements imposed on the workflows. These workflows detail the composition of Grid services and the level of service required from the Grid. This paper addresses workload allocation techniques for Grid workflows. We model a resource within a cluster as a G/G/1 queue and minimise failures (QoS requirement violation) of jobs by solving a mixed-integer non-linear program (MINLP). The novel approach is evaluated through an experimental simulation and the results confirm that the proposed workload allocation strategy not only provides QoS guarantee but also performs considerably better in terms of satisfying QoS requirements of Grid workflows than reservation-based scheduling algorithms. © 2006 ACM.
机译:群集之间越来越相互连接以形成多群集系统,这些系统在科学计算中变得越来越流行。网格用户通常以对工作流施加一定服务质量(QoS)要求的工作流形式提交他们的应用程序。这些工作流详细介绍了Grid服务的组成以及Grid所需的服务级别。本文介绍了Grid工作流的工作负载分配技术。我们将群集中的资源建模为G / G / 1队列,并通过解决混合整数非线性程序(MINLP)来最大程度地减少作业失败(违反QoS要求)。通过实验仿真对这种新方法进行了评估,结果表明,与基于预留的调度算法相比,所提出的工作负载分配策略不仅可以提供QoS保证,而且在满足Grid工作流的QoS要求方面表现也要好得多。 ©2006 ACM。

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    Patel Y; Darlington J;

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  • 年度 2006
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