UniCache: Hypervisor管理的数据存储在RAM和Flash中

Jinho Hwang, Wei Zhang, R. C. Chiang, Timothy Wood, H. Howie Huang
{"title":"UniCache: Hypervisor管理的数据存储在RAM和Flash中","authors":"Jinho Hwang, Wei Zhang, R. C. Chiang, Timothy Wood, H. Howie Huang","doi":"10.1109/CLOUD.2014.38","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":288542,"journal":{"name":"2014 IEEE 7th International Conference on Cloud Computing","volume":"91 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"UniCache: Hypervisor Managed Data Storage in RAM and Flash\",\"authors\":\"Jinho Hwang, Wei Zhang, R. C. Chiang, Timothy Wood, H. Howie Huang\",\"doi\":\"10.1109/CLOUD.2014.38\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":288542,\"journal\":{\"name\":\"2014 IEEE 7th International Conference on Cloud Computing\",\"volume\":\"91 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 7th International Conference on Cloud Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CLOUD.2014.38\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 7th International Conference on Cloud Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CLOUD.2014.38","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

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。然而,缓存被设计成贪婪地消耗内存,这可能导致虚拟化数据中心中的内存占用问题,因为管理程序无法判断虚拟机使用其内存的目的。一组虚拟机可能包含各种各样的缓存:数据库查询池、memcached键值存储、磁盘缓存等,每个缓存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差异,但是系统管理员目前还没有一种简单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,这是一个提供虚拟机监控程序管理的易失性数据存储的系统,它可以在虚拟机监控程序控制的主存储器(热数据)或基于Flash的存储(冷数据)中缓存数据。我们提出了一个两级缓存管理系统,该系统结合了最近信息、对象大小和恢复对象的成本预测来指导其清除算法。我们使用Xen构建了UniCache的原型,并在多个虚拟机竞争存储资源的共享环境中评估了它的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
UniCache: Hypervisor Managed Data Storage in RAM and Flash
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信