A user centric service-oriented modeling approach

Ding Yuan Cheng*, Kuo-Ming Chao, Chi-Chun Lo, Chen-Fang Tsai

*Corresponding author for this work

Research output: Contribution to journalArticle

27 Scopus citations

Abstract

With rapid development of service-oriented architecture and cloud computing, web services have been widely employed on the Internet. Quality of Service (QoS) is a very important criterion for service consumers to measure and select services. The selection of web services with respect to non-functional QoS criteria can be considered as a Multiple Criteria Decision Making (MCDM) problem when multiple consumers need to share a number of services. This paper describes a new user centric service-oriented modeling approach which is featured by integrating fuzzy Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) and Service Component Architecture (SCA) to facilitate web service selection and composition and to effectively satisfy a group of service consumers' subjective requirements and preferences in the dynamic environment. The main contribution of this method is able to translate a group of users' fuzzy requirements to services as well as model different levels of hardware and software as services to meet the requirements. We also design a simulated environment that includes 8*8 LED matrix on a circuit board that corresponds to an office with different appliances to demonstrate the dynamic service selection and binding. The simulation is used to assess the computational efficiency of the fuzzy TOPSIS method and the effectiveness of the proposed system.
Original languageEnglish
Pages (from-to)431-459
JournalWorld Wide Web-Internet And Web Information Systems
Volume14
Issue number4
DOIs
StatePublished - Jul 2011

Keywords

  • SCA; fuzzy TOPSIS; service selection; multiple criteria decision making (MCDM)

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