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Reference Pattern-Aware Instant Memory Balancing for Consolidated Virtual Machineson Manycores

机译:整合虚拟机的参考模式感知即时内存平衡

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Memory contention among consolidated VMs on the same hardware has created the need for repetitive memorybalancing operations. In an attempt to provide a prompt memory balancing mechanism, we found problems with the retardation of memory reallocation by the reclamation delay. The scheduling of the VMs and their VCPUs generates the delay, the dirtiness of the candidate pages for balancing makes the delay fluctuated, and a conflict of two reclamation policies between the guest OS and the hypervisor deteriorates the application performance. As a remedy to these problems, we propose HyperDealer2 (HD2), which selects the victim pages based on the reference patterns of clean pages, reclaims them with hypervisor-level paging, and reallocates those pages with explicit ballooning of the recipient guest OS. HD2 eliminates the involvement of victim VMs inmemory reclamation and extends the dwell time of reclaimed pages in the reclaimed state. Consequently, HD2 significantly reduces the time taken to reallocate memory with a low overhead and enhances the value of additional memory for the recipient VMs. The experimental results of HD2 show that the execution time of memory-intensive applications in the recipient VM is reduced by up to 50 percent in spite of less than 2 percent performance penalty.
机译:同一硬件上的合并虚拟机之间的内存争用产生了对重复内存平衡操作的需求。为了提供一种快速的内存平衡机制,我们发现了由于回收延迟而导致的内存重新分配延迟。 VM及其VCPU的调度会产生延迟,用于平衡的候选页面的肮脏性会导致延迟波动,并且来宾OS和管理程序之间的两种回收策略冲突会降低应用程序性能。为了解决这些问题,我们提出了HyperDealer2(HD2),它根据干净页面的引用模式选择受害页面,并通过虚拟机管理程序级别的分页进行回收,并通过显式膨胀接收方来宾OS来重新分配这些页面。 HD2消除了受害VM进行内存回收的麻烦,并延长了处于回收状态的回收页面的停留时间。因此,HD2以较低的开销显着减少了重新分配内存所花费的时间,并提高了接收方VM的额外内存的价值。 HD2的实验结果表明,尽管性能损失不超过2%,但接收方VM中内存密集型应用程序的执行时间最多可减少50%。

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