On optimal decision for QoS-aware composite service selection

Ping Wang, Kuo Ming Chao, Chi Chun Lo

    Research output: Contribution to journalArticle

    63 Citations (Scopus)

    Abstract

    The increasing popularity of employing web services for distributed systems contributes to the significance of service discovery. However, duplicated and similar functional features existing among services require service consumers to include additional aspects to evaluate the services. Generally, the service consumers would have different view on the quality of service (QoS) of service attributes. How to select the best composite service in theory among available service (WS) candidates for consumers is an interesting practical issue. This work proposes a QoS-aware service selection model based on fuzzy linear programming (FLP) technologies, in order to identify their dissimilarity on service alternatives, assist service consumers in selecting most suitable services with consideration of their expectations and preferences. This approach can obtain the optimal solution of consensual weight of QoS attribute and fuzzy positive ideal solution (FPIS) by extending LINMAP method, developed by Srinivasan and Shocker. Finally, two numerical examples are given to demonstrate the process of QoS-aware web service selection. The experimental results demonstrated that it is a feasible and supplementary manner in selecting the of web services.

    Original languageEnglish
    Pages (from-to)440-449
    Number of pages10
    JournalExpert Systems with Applications
    Volume37
    Issue number1
    Early online date14 Jun 2009
    DOIs
    Publication statusPublished - 1 Jan 2010

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    Keywords

    • Fuzzy linear programming
    • LINMAP
    • QoS
    • Services selection
    • Web services

    ASJC Scopus subject areas

    • Engineering(all)
    • Computer Science Applications
    • Artificial Intelligence

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