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Improved Eagle Strategy Algorithm for Dynamic Web Service Composition in the IoT: A Conceptual Approach

Author

Listed:
  • Venushini Rajendran

    (Faculty of Computing and Informatics, Multimedia University, Cyberjaya 63100, Malaysia)

  • R Kanesaraj Ramasamy

    (Faculty of Computing and Informatics, Multimedia University, Cyberjaya 63100, Malaysia)

  • Wan-Noorshahida Mohd-Isa

    (Faculty of Computing and Informatics, Multimedia University, Cyberjaya 63100, Malaysia)

Abstract

The Internet of Things (IoT) is now expanding and becoming more popular in most industries, which leads to vast growth in cloud computing. The architecture of IoT is integrated with cloud computing through web services. Recently, Dynamic Web Service Composition (DWSC) has been implemented to fulfill the IoT and business processes. In recent years, the number of cloud services has multiplied, resulting in cloud services providing similar services with similar functionality but varying in Quality of Services (QoS), for instance, on the response time of web services; however, existing methods are insufficient in solving large-scale repository issues. Bio-inspired algorithm methods have shown better performance in solving the large-scale service composition problems, unlike deterministic algorithms, which are restricted. Thus, an improved eagle strategy algorithm method is proposed to increase the performance that directly indicates an improvement in computation time in large-scale DWSC in a cloud-based platform and on both functional and non-functional attributes of services. By proposing the improved bio-inspired method, the computation time can be improved, especially in a large-scale repository of IoT.

Suggested Citation

  • Venushini Rajendran & R Kanesaraj Ramasamy & Wan-Noorshahida Mohd-Isa, 2022. "Improved Eagle Strategy Algorithm for Dynamic Web Service Composition in the IoT: A Conceptual Approach," Future Internet, MDPI, vol. 14(2), pages 1-14, February.
    • Handle: RePEc:gam:jftint:v:14:y:2022:i:2:p:56-:d:749549
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    References listed on IDEAS

    as
    1. Fateh Seghir & Abdellah Khababa, 2018. "A hybrid approach using genetic and fruit fly optimization algorithms for QoS-aware cloud service composition," Journal of Intelligent Manufacturing, Springer, vol. 29(8), pages 1773-1792, December.
    2. Feng-I Chung & Chia Lun Lo, 2018. "Service-Oriented Architecture Application in Long-Term Care Institution: A Case Study on an Information System Project Based on the Whole Person Concept in Taiwan," International Journal of Computing Sciences Research, Step Academic, vol. 1(3), pages 1-21, January.
    3. S. Bharath Bhushan & Pradeep C. H. Reddy, 2018. "A Hybrid Meta-Heuristic Approach for QoS-Aware Cloud Service Composition," International Journal of Web Services Research (IJWSR), IGI Global, vol. 15(2), pages 1-20, April.
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