HyperDealer:整合虚拟机的参考模式感知即时内存平衡

Woomin Hwang, Yangwoo Roh, Youngwoo Park, Ki-Woong Park, K. Park
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引用次数: 13

摘要

合并虚拟机(vm)之间的内存争用需要内存平衡操作。为了提供一个快速的内存平衡机制,我们发现了由于回收延迟导致的内存传输延迟问题。虚拟机的调度会产生延迟,并且客户操作系统和虚拟化环境之间的两个回收策略冲突会导致延迟。为了解决这些问题,我们提出了HyperDealer,它通过应用引用模式选择受害页面,使用管理程序级别的分页回收这些页面,并使用客户机操作系统的膨胀来传输这些页面。我们的方案消除了受害者VM对内存平衡的参与,并延长了处于回收状态的回收页面的停留时间。因此,HyperDealer以较低的开销显著减少了传输内存所需的时间,并提高了接收方VM的额外内存的价值。实验结果表明,该方案在接收方VM中的应用程序性能比以前的方法提高了11%的时间效率,并且损失减少了50%。
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HyperDealer: Reference-Pattern-Aware Instant Memory Balancing for Consolidated Virtual Machines
Memory contention among consolidated virtual machines (VMs) creates the need for a memory balancing operation. In an attempt to provide a prompt memory balancing mechanism, we found problems with the retardation of memory transfer by the reclamation delay. The scheduling of the VMs generates the delay, and a conflicts of two reclamation policies between the guest OS and the hypervisor deteriorates it. As a remedy to these problems, we propose HyperDealer, which selects the victim page by applying reference patterns, reclaims the pages with hypervisor-level paging, and transfers those pages with ballooning of the guest OS. Our scheme eliminates the involvement of the victim VM in memory balancing and extends the dwell time of reclaimed pages in the reclaimed state. Consequently, HyperDealer significantly reduces the time taken to transfer memory with a low overhead and enhances the value of additional memory for the recipient VM. The experimental results of our scheme show that the application performance in the recipient VM is 11% more time-efficient and has a penalty which is 50% less than previous approaches.
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