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    • Keywords


      Web services; quality of service; quality of experience; quality of selection; QoES prediction; blockchain; extended fuzzy TOPSIS; personalized and generalized factors.

    • Abstract


      Customized Quality of Service (QoS) and Quality of Experience (QoE) prediction play an important role in helping users to utilize high-quality service-oriented systems. To obtain accurate prediction results, many approaches have been investigated in recent years. However, these approaches do not fully addresstrustworthy of QoES (Quality of Service and Experience) values, which is insist on unreliable centralized prediction frameworks, that leading to an imprecise selection of web service. To address this issue, inspired by blockchain with distributed ledger technology, distributed consensus mechanisms, trusted environment, etc., we propose an extended Personalized and Generalized fuzzy TOPSIS approach for QoES prediction over ethereum blockchain to remove unreliable services. Then, the Blockchain-based extended fuzzy TOPSIS approach is employed to evaluate the proposed approach on real-world web services datasets. Experimental results show that the proposed method significantly outperforms existing approaches, making it much more effective than conventional techniques.

    • Author Affiliations



      1. Department of Computer Science and Engineering, PSG College of Technology, Coimbatore 641 004, India
      2. Department of Information Technology, PSG College of Technology, Coimbatore, India
    • Dates

  • Sadhana | News

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