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QoS-aware cloud service composition based on economic models

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2012) 7636 LNCS 111-126
DOI: 10.1007/978-3-642-34321-6_8
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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.

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Ye, Z., Bouguettaya, A., & Zhou, X. (2012). QoS-aware cloud service composition based on economic models. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7636 LNCS, pp. 111–126). Springer Verlag. https://doi.org/10.1007/978-3-642-34321-6_8

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