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SmarTmem: Intelligent Management of Transcendent Memory in a Virtualized Server

机译:SmarTmem:虚拟服务器中超然内存的智能管理

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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.
机译: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,这些机制响应虚拟机(VM)内存需求的变化很慢。引入了超越内存(tmem),可通过在虚拟机管理程序中池化空闲和休假内存,并通过键值存储使这些物理页面作为VM的额外内存,来提高内存供应的响应速度。但是,tmem本身存在一些局限性。最先进的虚拟机管理程序没有实现任何有效的方法来管理tmem容量,默认情况下,让VM贪婪地竞争它,而不管其实际的内存需求如何。在本文中,我们演示了tmem的智能内存容量管理的需求,并介绍了SmarTmem的设计和实现,该机制将粗粒度的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。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使Cloudsuite基准测试中的应用程序运行时间缩短多达35%。

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