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ECPS: An application-specific VM scheduler basing on CPU pool mechanism for big data environment

机译:ECPS:基于应用程序的VM调度程序,基于CPU池机制用于大数据环境

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摘要

Virtualization systems (e.g. Xen) provide powerful. flexible and scalable infrastructures for big data processing. In the virtualization system. the virtual machine (VM) scheduler is the key component to efficiently consolidate the multiple VMs on the virtual machine monitor (VMM). a.k.a. hypervisor. Xen employs the CPU pool mechanism to improve the adaptability of the VM scheduler for tasks of enormous variability and variety in the environment of big data. However the CPU pool mechanism contains no algorithms to classify VMs or the time-slice allocation strategy. which are indispensable for a complete implementation of a high-adaptive VM scheduler. In this paper, we discuss the optimizing opportunities and introduce an application-specific VM scheduler. called ECPS (Enhanced CPU Pool Scheduler). which is a CPU-pool-based VM scheduler enhanced with VM multi-classification model and a reasonable time-slice allocation strategy. The experimental evaluation shows that ECPS can remarkably improve the performance of Xen virtualization system.
机译:虚拟化系统(例如Xen)提供了强大的功能。灵活且可扩展的基础架构,用于大数据处理。在虚拟化系统中。虚拟机(VM)调度程序是有效整合虚拟机监视器(VMM)上的多个VM的关键组件。又称为管理程序。 Xen利用CPU池机制来提高VM调度程序的适应性,以应对大数据环境中变化巨大,种类繁多的任务。但是,CPU池机制不包含用于对VM进行分类的算法或时间片分配策略。完整实现高度自适应的VM调度程序必不可少的。在本文中,我们讨论了优化机会,并介绍了特定于应用程序的VM调度程序。称为ECPS(增强型CPU池调度程序)。这是基于CPU池的VM调度程序,它通过VM多分类模型和合理的时间片分配策略进行了增强。实验评估表明,ECPS可以显着提高Xen虚拟化系统的性能。

著录项

  • 来源
  • 会议地点 Chuncheon-si Gangwon-do(KR)
  • 作者

    Xiaodong Liu; Jian Li;

  • 作者单位

    Shanghai Key Laboratory of Scalable Computing and Systems, The School of Software, SJTU (Shanghai Jiao Tong University), China;

    Shanghai Key Laboratory of Scalable Computing and Systems, The School of Software, SJTU (Shanghai Jiao Tong University), China;

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  • 原文格式 PDF
  • 正文语种 eng
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