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QoS-Aware Cloud Service Composition Using Time Series

  • Zhen Ye
  • Athman Bouguettaya
  • Xiaofang Zhou
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8274)

Abstract

Cloud service composition is usually long term based and economically driven. We propose to use multi-dimensional Time Series to represent the economic models during composition. Cloud service composition problem is then modeled as a similarity search problem. Next, a novel correlation-based search algorithm is proposed. Finally, experiments and their results are presented to show the performance of the proposed composition approach.

Keywords

Cloud Computing Service Composition Composite Service Cloud Service Provider Multiple Time Series 
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 2013

Authors and Affiliations

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

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