DESKTOP WORKLOAD CHARACTERISTICS AND THEIR UTILITY IN OPTIMIZING VIRTUAL MACHINE PLACEMENT IN CLOUD

摘要：

　　Optimally placing virtual machines on numerous physical servers saves clouds hardware resources.In the case of the virtual desktop cloud,the placement task becomes more difficult because the workload of virtual desktop changes quickly over time.In this paper,we first study the workload of CPU,memory,and hard disks of 172 machines that provide virtual desktops to remote users.We also thoroughly analyze CPU usage metric and show that office users desktops often repeat a certain pattern every workday.We then evaluate the virtual machine placement algorithms including PBA,which utilizes the correlation between the CPU usage patterns to find the suitable server for a virtual desktop,and First Fit,a widely used placement algorithm in cloud infrastructure.

关键词： Virtual desktop Desktop workload Virtual desktop placement Cloud

作者: Cao LeThanhMan Makoto Kayashima

作者单位: Yokohama Research Laboratory,Hitachi Ltd.292,Yoshida-cho,Totsuka-ku,Yokohama-shi,Kanagawa-ken,Japan

会议类型: 国际会议

会议名称: 2012 2nd IEEE International Conference on Cloud Computing and Intelligence Systems (2012年第2届IEEE云计算与智能系统国际会议(IEEE CCIS2012))

会议地点: 杭州

会议语种:英文

页码: 451-455

在线出版日期: 2012-10-30（万方平台首次上网日期，不代表论文的发表时间）