IDEAS home Printed from https://ideas.repec.org/a/igg/jismd0/v13y2022i3p1-26.html
   My bibliography  Save this article

A Diffraction Service Composition Approach Based on S-ABCPC: An Improved ABC Algorithm

Author

Listed:
  • Xunyou Min

    (Harbin Institute of Technology, China)

  • Xiaofei Xu

    (Harbin Institute of Technology, China)

  • Zhongjie Wang

    (Harbin Institute of Technology, China)

  • Zhizhong Liu

    (Yantai University, China)

Abstract

In recent years, research on the QoS-aware service composition problem often assumes that each component service in the process to be solved is equally essential. They do not consider the impact of core component services and other component services on problem-solving, or even though their impact is considered, they are not fully considered. So this paper first proposes a diffractive method based on them. Considering the advantages of artificial bee colony (ABC) such as simplicity, this paper chooses it as the basic algorithm. In addition, with the continuous development of service ecosystem, it gradually formed a variety of domain features. They have an important influence on problem-solving, but the existing research has not explored this influence in-depth. Therefore, this paper digs deep into this influence. Given the characteristics of the problem to be solved in this paper, the S-ABCPC algorithm is designed. At last, experiments have proved the effectiveness of the method proposed in this paper. The impact factors of this method have been studied.

Suggested Citation

  • Xunyou Min & Xiaofei Xu & Zhongjie Wang & Zhizhong Liu, 2022. "A Diffraction Service Composition Approach Based on S-ABCPC: An Improved ABC Algorithm," International Journal of Information System Modeling and Design (IJISMD), IGI Global, vol. 13(3), pages 1-26, July.
  • Handle: RePEc:igg:jismd0:v:13:y:2022:i:3:p:1-26
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJISMD.300778
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hela Fekih & Sabri Mtibaa & Sadok Bouamama, 2019. "An Efficient User-Centric Web Service Composition Based on Harmony Particle Swarm Optimization," International Journal of Web Services Research (IJWSR), IGI Global, vol. 16(1), pages 1-21, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      More about this item

      Statistics

      Access and download statistics

      Corrections

      All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jismd0:v:13:y:2022:i:3:p:1-26. See general information about how to correct material in RePEc.

      If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

      If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

      For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

      Please note that corrections may take a couple of weeks to filter through the various RePEc services.

      IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.