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Soft Computing

, Volume 22, Issue 24, pp 8353–8378 | Cite as

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

  • Mostafa Ghobaei-Arani
  • Ali Asghar Rahmanian
  • Mohammad Sadegh Aslanpour
  • Seyed Ebrahim Dashti
Methodologies and Application

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.

Keywords

Cloud computing Web service composition Quality of service Cuckoo search algorithm 

Notes

Compliance with ethical standards

Conflict of interest

We have no conflict of interest to declare.

Ethical approval

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.

Human and animal participants

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

Informed consent

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

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Copyright information

© Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  1. 1.Department of Computer Engineering, Qom BranchIslamic Azad UniversityQomIran
  2. 2.Department of Computer Science and Engineering and IT, College of Electrical and Computer EngineeringShiraz UniversityShirazIran
  3. 3.Department of Computer Engineering, Jahrom BranchIslamic Azad UniversityJahromIran

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