Title :
Performance prediction for saas deployment optimization based on colored petri nets
Author :
Zhiyuan Gong ; Shi Ying ; Lin Li ; Xiangyang Jia ; Long Zhang
Author_Institution :
Comput. Sch., Wuhan Univ., Wuhan, China
Abstract :
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.
Keywords :
Petri nets; cloud computing; electronic commerce; CPN; SaaS deployment optimization; colored Petri nets; e-commerce domain; performance prediction; software-as-a-service; Cloud computing; Computational modeling; Optimization; Predictive models; Software as a service; Time factors; Unified modeling language; SaaS application performance prediction; SaaS deployment optimization; cloud computing; colored petri nets;
Conference_Titel :
Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
Conference_Location :
Shengyang
Print_ISBN :
978-1-4799-2564-3
DOI :
10.1109/MEC.2013.6885485
