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QpS and preemption aware scheduling in federated and virtualized Grid computing environments

机译:联合和虚拟化网格计算环境中的QpS和抢占感知调度

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摘要

Resource provisioning is one of the challenges in federated Grid environments. In these environments each Grid serves requests from external users along with local users. Recently, this resource provisioning is performed in the form of Virtual Machines (VMs). The problem arises when there are insufficient resources for local users to be served. The problem gets complicated further when external requests have different QoS requirements. Serving local users could be solved by preempting VMs from external users which impose overheads on the system. Therefore, the question is how the number of VM preemptions in a Grid can be minimized. Additionally, how we can decrease the likelihood of preemption for requests with more QoS requirements. We propose a scheduling policy in interGrid, as a federated Grid, which reduces the number of VM preemptions and dispatches external requests in a way that fewer requests with QoS constraints get affected by preemption. Extensive simulation results indicate that the number of VM preemptions is decreased at least by 60%, particularly, for requests with more QoS requirements.
机译:资源配置是联合网格环境中的挑战之一。在这些环境中,每个网格都服务于外部用户和本地用户的请求。最近,这种资源供应以虚拟机(VM)的形式执行。当没有足够的资源供本地用户使用时,就会出现问题。当外部请求具有不同的QoS要求时,问题将变得更加复杂。通过从外部用户抢占虚拟机来解决服务本地用户的问题,这会给系统带来额外的开销。因此,问题是如何使网格中VM抢占的数量最小化。此外,我们如何降低具有更高QoS要求的请求被抢占的可能性。我们在interGrid中提出了一种调度策略,称为联邦网格,该策略可减少VM抢占的数量并调度外部请求,从而减少具有QoS约束的请求受到抢占的影响。大量的仿真结果表明,VM抢占的数量至少减少了60%,特别是对于具有更高QoS要求的请求。

著录项

  • 来源
    《Journal of Parallel and Distributed Computing》 |2012年第2期|p.231-245|共15页
  • 作者单位

    Cloud Computing and Distributed Systems (CLOUDS) Laboratory, Department of Computing and Information Systems, The University of Melbourne, Parkville, Melbourne, VIC, 3010, Australia;

    Cloud Computing and Distributed Systems (CLOUDS) Laboratory, Department of Computing and Information Systems, The University of Melbourne, Parkville, Melbourne, VIC, 3010, Australia;

    Cloud Computing and Distributed Systems (CLOUDS) Laboratory, Department of Computing and Information Systems, The University of Melbourne, Parkville, Melbourne, VIC, 3010, Australia;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    federated grid; virtual machine (VM); preemption; queuing model; scheduling; quality of service (QoS);

    机译:联邦网格;虚拟机(VM);抢占排队模型排程服务质量(QoS);

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