Simulation of Web Service Selection from a Web Service Repository

  • Yann-Ling Yeap
  • R. Kanesaraj RamasamyEmail author
  • Chin-Kuan Ho
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1040)


This paper studies the dynamic Web service selection methods and simulates it with the same dataset to show the performance of each method. Quality of service (QoS) in Web services composition has various non-functional issues such as performance, dependability, and others. As more and more Web services become available, QoS capability is becoming a crucial factor in selecting the services. We observe the performance of each method and also the recommended hybrid methods by the selected authors. As a result of observation, we have proposed a new hybrid method which can produce better performance (better processing time) in Web service selection. The new approach is proposed based on particle swarm optimization.


Web service Web service selection QoS attributes 


  1. 1.
    Belouaar, H., Kazar, O., Rezeg, K.: Web service selection based on TOPSIS algorithm. In: 2017 International Conference on Mathematics and Information Technology (ICMIT), pp. 177–182 (2017)Google Scholar
  2. 2.
    Serrai, W., Abdelli, A., Mokdad, L., Hammal, Y.: An efficient approach for Web service selection. In: 2016 IEEE Symposium on Computers and Communication (ISCC), pp. 167–172 (2016)Google Scholar
  3. 3.
    Purohit, L., Kumar, S.: A classification based web service selection approach. IEEE Trans. Serv. Comput. (2018)Google Scholar
  4. 4.
    Papazoglou, M.: Web Services: Principles and Technology. Pearson Education (2008)Google Scholar
  5. 5.
    Anbazhagan Mani, A.N.: Understanding quality of service for web services. Accessed 01 Jan 2018
  6. 6.
    Serrai, W., Abdelli, A., Mokdad, L., Serrai, A.: Dealing with user constraints in MCDM based web service selection. In: 2017 IEEE Symposium on Computers and Communications (ISCC), pp. 158–163 (2017)Google Scholar
  7. 7.
    Saaty, T.L.: A scaling method for priorities in hierarchical structures. J. Math. Psychol. 15(3), 234–281 (1977)MathSciNetCrossRefGoogle Scholar
  8. 8.
    Cables, E., Lamata, M.T., Verdegay, J.L.: RIM-reference ideal method in multicriteria decision making. Inf. Sci. 337 (2016)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Yann-Ling Yeap
    • 1
  • R. Kanesaraj Ramasamy
    • 1
    Email author
  • Chin-Kuan Ho
    • 1
  1. 1.Multimedia UniversityCyberjayaMalaysia

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