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QoS-Aware Cloud Service Composition Based on Economic Models

  • Zhen Ye
  • Athman Bouguettaya
  • Xiaofang Zhou
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7636)

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.

Keywords

Cloud Computing Service Composition Composite Service Cloud Service Provider Decision Node 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Zhen Ye
    • 1
    • 2
  • Athman Bouguettaya
    • 3
  • Xiaofang Zhou
    • 1
  1. 1.The University of QueenslandAustralia
  2. 2.CSIRO ICT CentreAustralia
  3. 3.Royal Melbourne Institute of TechnologyAustralia

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