Ingens:对操作系统和管理程序的巨大页面支持

Youngjin Kwon, Hangchen Yu, Simon Peter, C. Rossbach, E. Witchel
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引用次数: 10

摘要

近年来,内存容量和需求同步增长。然而,内存虚拟化(尤其是地址转换)的开销也会随着内存容量的增加而增加,这促使硬件制造商为更大的页面或巨大的页面提供数千个条目的tlb。当前的操作系统和管理程序支持巨大的页面,使用的是大杂烩式的最佳算法和点修复,随着对巨大页面的架构支持的成熟,这些算法和点修复越来越没有意义。是时候进行更根本的重新设计了。Ingens是一个框架,用于以协调的方式提供透明的大页面支持。Ingens将连续性作为一级资源进行管理,并跟踪内存页面的利用率和访问频率,使其能够消除困扰当前系统的病态。基于Linux/ kvm的原型的实验表明,对于Web服务和Redis等重要应用程序,提高了公平性和性能,减少了尾部延迟和内存膨胀。我们报告了正在进行的Ingens移植到ESX Hypervisor的早期经验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ingens: Huge Page Support for the OS and Hypervisor
Memory capacity and demand have grown hand in hand in recent years. However, overheads for memory virtualization, 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 hypervisors 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.
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