QoS-Aware Cloud Service Composition Based on Economic Models
Lecture notes in computer sciencePublished 1 January 2012Open access
Zhen Ye, Athman Bouguettaya, Xiaofang Zhou
Citations46
SJR quartileQ2
SJR score0.35
SNIP0.55
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TL;DR
A novel influence-diagram-based cloud service composition approach is proposed that proposes to use discrete Bayesian Network to represent the economic model of end users.
Abstract
Cloud service composition is usually long term based and economically driven. We consider cloud service composition from a userbased 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-diagrambased cloud service composition approach is proposed. Analytical and simulational results are presented to show the performance of the proposed composition approach. © Springer-Verlag Berlin Heidelberg 2012.
Keywords
Computer ScienceDecision Sciences
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