Abstract

Cloud service composition is usually long term based and economically driven. We consider cloud service composition from a user-based perspective. Specifically, the contributions are shown in three aspects. We propose to use discrete Bayesian Network to represent the economic model of end users. The cloud service composition problem is modeled as an Influence Diagram problem. A novel influence-diagram-based cloud service composition approach is proposed. Analytical and simulational results are presented to show the performance of the proposed composition approach.

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