Irfan Ahmad, Jennifer M. Anderson, Anne M. Holler, Rajit Kambo, Vikram Makhija
{"title":"An analysis of disk performance in VMware ESX server virtual machines","authors":"Irfan Ahmad, Jennifer M. Anderson, Anne M. Holler, Rajit Kambo, Vikram Makhija","doi":"10.1109/WWC.2003.1249058","DOIUrl":null,"url":null,"abstract":"VMware ESX Server is a software platform that efficiently multiplexes the hardware resources of a server among virtual machines. This paper studies the performance of a key component of the ESX Server architecture: its storage subsystem. We characterize the performance of native systems and virtual machines using a series of disk microbenchmarks on several different storage systems. We show that the virtual machines perform well compared to native, and that the I/O behavior of virtual machines closely matches that of the native server. We then discuss how the microbenchmarks can be used to estimate virtual machine performance for disk-intensive applications by studying two workloads: a simple file server and a commercial mail server.","PeriodicalId":432745,"journal":{"name":"2003 IEEE International Conference on Communications (Cat. No.03CH37441)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"83","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2003 IEEE International Conference on Communications (Cat. No.03CH37441)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WWC.2003.1249058","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 83
Abstract
VMware ESX Server is a software platform that efficiently multiplexes the hardware resources of a server among virtual machines. This paper studies the performance of a key component of the ESX Server architecture: its storage subsystem. We characterize the performance of native systems and virtual machines using a series of disk microbenchmarks on several different storage systems. We show that the virtual machines perform well compared to native, and that the I/O behavior of virtual machines closely matches that of the native server. We then discuss how the microbenchmarks can be used to estimate virtual machine performance for disk-intensive applications by studying two workloads: a simple file server and a commercial mail server.