Improving the QoS of Web Applications across Multiple Virtual Machines in Cloud Computing Environment

被引：5

作者：

Zhang, Weizhe ^{[1
]}

Zhang, Hongli ^{[1
]}

Chen, Huixiang ^{[1
]}

Zhang, Qizhen ^{[1
]}

Cheng, Albert M. K. ^{[2
]}

机构：

[1] Harbin Inst Technol, Sch Comp Sci & Technol, Harbin 150006, Peoples R China

[2] Univ Houston, Dept Comp Sci, Houston, TX USA

来源：

2012 IEEE 26TH INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM WORKSHOPS & PHD FORUM (IPDPSW) | 2012年

基金：

中国国家自然科学基金; 美国国家科学基金会; 国家高技术研究发展计划(863计划);

关键词：

cloud computing; virtualization; virtual machine; CPU scheduling; QoS; utility optimization;

D O I：

10.1109/IPDPSW.2012.277

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Cloud computing is a hot topic in both industrial and academic areas. Virtualization employed on large data centers forms the basis of cloud computing, which includes CPU, I/O and memory virtualization. Time-sharing of CPU cycles for multiple virtual machines (VMs) has been the main bottleneck of system-level virtualization. How to schedule CPU cycles for multi-VMs to improve the QoS of web applications need further study. This paper first proposes a CPU management architecture for multi-VMs. Then, we convert the CPU scheduling problem into an integer programming problem. Importantly, we put forward a CPU scheduling algorithm based on utility optimization theory (UOCRS) to increase the global utility. Experiments show that our scheme improves the performance of Web applications remarkably.

引用

页码：2247 / 2253

页数：7

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