Presenting an Algorithm for Choosing an Optimum Local Service Based on the Qualitative Feature of Combining
International Journal of Intelligent Information Systems
Volume 3, Issue 6-1, December 2014, Pages: 56-60
Received: Oct. 21, 2014; Accepted: Oct. 23, 2014; Published: Oct. 29, 2014
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Authors
Aalia Hemmati, Computer Engineering department. Islamic Azad university of Meybod, Yazd, Iran
Sima Emadi, Computer Engineering department. Islamic Azad university of Meybod, Yazd, Iran
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Abstract
The combination of web services is the result of complex and increasing needs of the users and disability of single web services in resolving the users’ needs. One of the important challenges in the field of web 2.0 is the combination of web services based on their qualitative features. Since it is probable that there would be several different combinations of services for achieving a specific goal, choosing the service is based on some qualitative features like combining, availability, acceptability, service cost and security. One of the important issues is the quantitative survey of combining rate of the two services shared on the combination. So in this research, in the first stage, for measuring the combining rate, the effective factors on this feature would be surveyed. In the second stage, for choosing the optimum service based on the qualitative feature of combining, the local strategy is used. The proposed algorithm in local strategy selects services that their combining rate is more than a specific threshold. The implementations and analysis show that the proposed algorithm presents the optimum service in user's view with an acceptable combining capability. Also, the analysis of results and an evaluation with a case study show the optimized results of the local proposed algorithms compared to existing methods.
Keywords
Web Service, Qualitative Feature of Service, Combining
To cite this article
Aalia Hemmati, Sima Emadi, Presenting an Algorithm for Choosing an Optimum Local Service Based on the Qualitative Feature of Combining, International Journal of Intelligent Information Systems. Special Issue: Research and Practices in Information Systems and Technologies in Developing Countries. Vol. 3, No. 6-1, 2014, pp. 56-60. doi: 10.11648/j.ijiis.s.2014030601.20
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