This paper introduces the active rule processing technology application in electronic commerce area. First, paper introduces two kinds of rule expression methods. In order to help understand the rule expression, paper takes some examples of rule application in electronic commerce area. In order to processing the complex application, paper introduced a kind of method which can process large-scale data in electronic commerce through construct the rule network. At last, paper summarizes and gives future work.
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.
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