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Ingens: Huge Page Support for the OS and Hypervisor

机译:Ingens:对OS和Hypervisor的巨大页面支持

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摘要

Memory capacity and demand have grown hand in hand in recent years. However, overheads for memory virtu-alization, in particular for address translation, grow with memory capacity as well' motivating hardware manufacturers to provide TLBs with thousands of entries for larger pages, or huge pages. Current OSes and hypervi-sors support huge pages with a hodge-podge of best-effort algorithms and spot fixes that make less and less sense as architectural support for huge pages matures. The time has come for a more fundamental redesign. Ingens is a framework for providing transparent huge page support in a coordinated way. Ingens manages contiguity as a first-class resource, and tracks utilization and access frequency of memory pages, enabling it to eliminate pathologies that plague current systems. Experiments with a Linux/KVM-based prototype show improved fairness and performance, and reduced tail latency and memory bloat for important applications such as Web services and Redis. We report early experiences with our in-progress port of Ingens to the ESX Hypervisor.
机译:近年来,存储容量和需求已同步增长。但是,内存虚拟化(尤其是地址转换)的开销随内存容量的增长而增长,这也促使硬件制造商为TLB提供大页面或大页面的数千个条目。当前的操作系统和虚拟机监控程序通过尽力而为的算法和现场修复来支持大页面,随着对大页面的架构支持的成熟,这种修复的意义越来越小。现在是进行更基本的重新设计的时候了。 Ingens是一个以协调方式提供透明的大页面支持的框架。 Ingens将连续性作为一流资源进行管理,并跟踪内存页的使用率和访问频率,从而使其能够消除困扰当前系统的病理情况。使用基于Linux / KVM的原型的实验表明,对于重要的应用程序(例如Web服务和Redis),其公平性和性能得到了改善,并减少了尾部延迟和内存膨胀。我们将正在进行的Ingens端口报告给ESX Hypervisor的早期经验。

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  • 来源
    《Operating systems review》 |2017年第1期|83-93|共11页
  • 作者单位

    The University of Texas at Austin The University of Texas at Austin and VMware Research Group;

    The University of Texas at Austin The University of Texas at Austin and VMware Research Group;

    The University of Texas at Austin The University of Texas at Austin and VMware Research Group;

    The University of Texas at Austin The University of Texas at Austin and VMware Research Group;

    The University of Texas at Austin The University of Texas at Austin and VMware Research Group;

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  • 正文语种 eng
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