Service performance analysis of cloud computing center based on vacation queueing system

被引：0

作者：

Zai, Guangjun ^{[1
]}

Liu, Yan ^{[2
]}

机构：

[1] School of Software Technology, Zhengzhou University, Zhengzhou

[2] School of Mathematics and Statistics, Zhengzhou University, Zhengzhou

来源：

Journal of Computational Information Systems | 2015年 / 11卷 / 19期

关键词：

Cloud computing; Performance analysis; Response time; Vacation queueing system;

D O I：

10.12733/jcis15427

中图分类号：

学科分类号：

摘要：

Performance analysis of cloud computing center provides the basis for ensuring quality of service(QoS), service strategy of server will directly affect the analysis of performance indicators. So when the operator configuring computing resources dynamically, server vacation policy issues need to be considered in order to meet the need of practical operation and achieve optimal utilization of resources. Service performance analysis model based on part vacation queueing system was proposed. The average response time, the average queue length, immediate service probability and other QoS indicators was solved. Through the simulation experiment, the influence between the maximum number of vacation server and QoS indicators is analyzed, and it provides the reference for the optimization of cloud computing center resources. © 2015 by Binary Information Press.

引用

页码：7029 / 7036

页数：7

共 12 条

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