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CSA-WSC: cuckoo search algorithm for web service composition in cloud environments

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Abstract

In recent years, service-based applications are deemed to be one of the new solutions to build an enterprise application system. In order to answer the most demanding needs or adaptations to the needs of changed services quickly, service composition is currently used to exploit the multi-service capabilities in the Information Technology organizations. While web services, which have been independently developed, may not always be compatible with each other, the selection of optimal services and composition of these services are seen as a challenging issue. In this paper, we present cuckoo search algorithm for web service composition problem which is called ‘CSA-WSC’ that provides web service composition to improve the quality of service (QoS) in the distributed cloud environment. The experimental results indicate that the CSA-WSC compared to genetic search skyline network (GS-S-Net) and genetic particle swarm optimization algorithm (GAPSO-WSC) reduces the costs by 7% and responding time by 6%, as two major reasons for the reduction of improvement of the quality of service. It also increases provider availability up to 7.25% and the reliability to 5.5%, as the two important QoS criteria for improving the quality of service.

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Authors and Affiliations

  1. Department of Computer Engineering, Qom Branch, Islamic Azad University, Qom, Iran

    Mostafa Ghobaei-Arani

  2. Department of Computer Science and Engineering and IT, College of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran

    Ali Asghar Rahmanian

  3. Department of Computer Engineering, Jahrom Branch, Islamic Azad University, Jahrom, Iran

    Mohammad Sadegh Aslanpour & Seyed Ebrahim Dashti

Authors
  1. Mostafa Ghobaei-Arani
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  2. Ali Asghar Rahmanian
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  3. Mohammad Sadegh Aslanpour
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  4. Seyed Ebrahim Dashti
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Corresponding authors

Correspondence to Mostafa Ghobaei-Arani or Ali Asghar Rahmanian.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards.

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This article does not contain any studies with human participants or animals performed by any of the authors.

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Informed consent was obtained from all individual participants included in the study.

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Communicated by V. Loia.

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Ghobaei-Arani, M., Rahmanian, A.A., Aslanpour, M.S. et al. CSA-WSC: cuckoo search algorithm for web service composition in cloud environments. Soft Comput 22, 8353–8378 (2018). https://doi.org/10.1007/s00500-017-2783-4

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  • DOI: https://doi.org/10.1007/s00500-017-2783-4

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