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UniCache: Hypervisor Managed Data Storage in RAM and Flash

机译:UniCache:RAM和闪存中由管理程序管理的数据存储

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Application and OS-level caches are crucial for hiding I/O latency and improving application performance. However, caches are designed to greedily consume memory, which can cause memory-hogging problems in a virtualized data centers since the hypervisor cannot tell for what a virtual machine uses its memory. A group of virtual machines may contain a wide range of caches: database query pools, memcached key-value stores, disk caches, etc., each of which would like as much memory as possible. The relative importance of these caches can vary significantly, yet system administrators currently have no easy way to dynamically manage the resources assigned to a range of virtual machine data caches in a unified way. To improve this situation, we have developed UniCache, a system that provides a hypervisor managed volatile data store that can cache data either in hypervisor controlled main memory (hot data) or on Flash based storage (cold data). We propose a two-level cache management system that uses a combination of recency information, object size, and a prediction of the cost to recover an object to guide its eviction algorithm. We have built a prototype of UniCache using Xen, and have evaluated its effectiveness in a shared environment where multiple virtual machines compete for storage resources.
机译:应用程序和操作系统级缓存对于隐藏I / O延迟和提高应用程序性能至关重要。但是,高速缓存旨在贪婪地消耗内存,这可能会导致虚拟化数据中心的内存占用问题,因为管理程序无法告知虚拟机使用了什么内存。一组虚拟机可能包含各种缓存:数据库查询池,内存缓存的键值存储,磁盘缓存等,它们中的每一个都需要尽可能多的内存。这些缓存的相对重要性可能会有很大的不同,但是系统管理员当前尚无简便的方法来以统一的方式动态管理分配给一系列虚拟机数据缓存的资源。为了改善这种情况,我们开发了UniCache,该系统提供了一个由管理程序管理的易失性数据存储,可以在管理程序控制的主内存(热数据)或基于闪存的存储(冷数据)中缓存数据。我们提出了一种两级缓存管理系统,该系统结合使用新近度信息,对象大小以及对恢复对象的成本的预测来指导其逐出算法。我们使用Xen构建了UniCache的原型,并评估了在多个虚拟机竞争存储资源的共享环境中其有效性。

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