SmarTmem:虚拟化服务器中超越内存的智能管理

Luis A. Garrido, Rajiv Nishtala, P. Carpenter
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引用次数: 2

摘要

在虚拟环境中管理内存容量仍然是一个具有挑战性的问题。已经提出并实现了许多解决方案,包括内存膨胀和内存热插拔。但是这些机制对虚拟机(VM)内存需求变化的响应很慢。引入超越内存(tmem)是为了提高内存供应的响应性,方法是将管理程序中的空闲和空闲内存池化,并通过键值存储将这些物理页面作为虚拟机的额外内存使用。然而,tmem本身也有一些局限性。最先进的管理程序没有实现任何有效的方法来管理内存容量,默认情况下,虚拟机会以贪婪的方式竞争内存容量,而不管它们的实际内存需求如何。在本文中,我们演示了智能内存容量管理对tmem的需求,并介绍了SmarTmem的设计和实现,这是一种将粗粒度用户空间内存管理与虚拟化层的细粒度分配和实施集成在一起的机制。我们的结果表明,与默认的tmem分配机制相比,我们的解决方案可以将Cloudsuite基准测试中的应用程序的运行时间提高35%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SmarTmem: Intelligent Management of Transcendent Memory in a Virtualized Server
Managing memory capacity in virtualized environments is still a challenging problem. Many solutions have been proposed and implemented, including memory ballooning and memory hotplug. But these mechanisms are slow to respond to changes in virtual machine (VM) memory demands. Transcendent Memory (tmem) was introduced to improve responsiveness in memory provisioning, by pooling idle and fallow memory in the hypervisor, and making these physical pages available as additional memory for the VMs through a key-value store. However, tmem presents some limitations of its own. State-of-the-art hypervisors do not implement any efficient way to manage tmem capacity, letting VMs compete for it in a greedy way by default, regardless of their actual memory demand. In this paper, we demonstrate the need for intelligent memory capacity management for tmem, and we present the design and implementation of SmarTmem, a mechanism that integrates coarse-grained user-space memory management with fine-grain allocation and enforcement at the virtualization layer. Our results show that our solution can improve the running time of applications from the Cloudsuite benchmarks by up to 35% compared to the default tmem allocation mechanism.
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