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QoS-Aware Web Service Composition Using Quantum Inspired Particle Swarm Optimization

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Intelligent Decision Technologies (IDT 2017)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 39))

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Abstract

Quality of Service (QoS)-aware web service composition is one of the challenging problems in service oriented computing. Due to the seamless proliferation of web services, it is difficult to find an optimal web service during composition that satisfies the requirements of an user. In order to enable dynamic QoS-aware web service composition, we propose an approach based on Quantum inspired particle swarm optimization. Experimental results show that the proposed QIPSO-WSC has effective and efficient performance in terms of low optimality rate and reduced time complexity.

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Author information

Authors and Affiliations

  1. Institute for Development and Research in Banking Technology, Hyderabad, India

    Chandrashekar Jatoth

  2. SCIS, University of Hyderabad, Hyderabad, India

    Chandrashekar Jatoth & G. R. Gangadharan

Authors
  1. Chandrashekar Jatoth
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  2. G. R. Gangadharan
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Corresponding author

Correspondence to G. R. Gangadharan .

Editor information

Editors and Affiliations

  1. FCT, Universidade Nova de Lisboa, Caparica, Portugal

    Rui Neves-Silva

  2. Faculty of Education, Science, Technology and Mathematics, University of Canberra, Canberra, Australia

    Lakhmi C. Jain

  3. KES International, Shoreham-by-sea, United Kingdom

    Robert J. Howlett

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© 2015 Springer International Publishing Switzerland

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Jatoth, C., Gangadharan, G.R. (2015). QoS-Aware Web Service Composition Using Quantum Inspired Particle Swarm Optimization. In: Neves-Silva, R., Jain, L., Howlett, R. (eds) Intelligent Decision Technologies. IDT 2017. Smart Innovation, Systems and Technologies, vol 39. Springer, Cham. https://doi.org/10.1007/978-3-319-19857-6_23

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  • DOI: https://doi.org/10.1007/978-3-319-19857-6_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19856-9

  • Online ISBN: 978-3-319-19857-6

  • eBook Packages: EngineeringEngineering (R0)

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