Performance Prediction for SaaS Deployment Optimization Based on Colored Petri Nets

被引：0
|
作者：
Gong, Zhiyuan [1 ]
Ying, Shi
Li, Lin
Jia, Xiangyang
Zhang, Long
机构：
[1] Wuhan Univ, State Key Lab Software Engn, Wuhan 430072, Peoples R China
来源：
PROCEEDINGS 2013 INTERNATIONAL CONFERENCE ON MECHATRONIC SCIENCES, ELECTRIC ENGINEERING AND COMPUTER (MEC) | 2013年
关键词：
cloud computing; SaaS application performance prediction; SaaS deployment optimization; colored petri nets;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The deployment of SaaS (Software-as-a-Service) application in clouds influents its performance, and thus it is necessary to estimate the performance of SaaS application when optimizing SaaS deployment. In this paper, a colored petri nets (CPN) based SaaS application performance prediction approach for deployment optimization is proposed. Specifically, a CPN modeling approach for SaaS application with replaceable deployment is proposed; a performance prediction technique based on simulation of a CPN model is explored. Moreover, experiments in e-commerce domain are conducted, and the results validate the effectiveness of the approach.
引用
收藏
页码：2689 / 2693
页数：5
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