Mobile Networks and Applications

, Volume 18, Issue 1, pp 116–121 | Cite as

Particle Swarm Optimization with Skyline Operator for Fast Cloud-based Web Service Composition

Article

Abstract

Quality of Services play an increasingly important role during the procedure of Cloud-based web service composition for seamless and dynamic integration of business applications. However, as Cloud-based web services (CWSs) proliferate, it becomes difficult to facilitate service composition quickly in Cloud computing environment. In this paper, based on the notion of Skyline, we propose a fast CWS composition approach. This approach adopts Skyline operator to prune redundant CWS candidates and then employs Particle Swarm Optimization to select CWS from amount of candidates for composing single service into a more powerful composite service. Based on a real dataset, we conduct an experiment to evaluate our proposed approach. Experimental results show that our proposed approach is effective and efficient for CWS composition.

Keywords

cloud computing cloud-based web service service composition skyline operator particle swarm optimization 

Notes

Acknowledgements

The work presented in this study is supported by the 863 program (2011AA01A102); the CPSF (2011M500226); the RFDP (20110005130001) and the NCET (100263).

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Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  • Shangguang Wang
    • 1
  • Qibo Sun
    • 1
  • Hua Zou
    • 1
  • Fangchun Yang
    • 1
  1. 1.State Key Laboratory of Networking and Switching TechnologyBeijing University of Posts and TelecommunicationsBeijingChina

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