Research Article | OPEN ACCESS
QOS Based Web Service Ranking Using Fuzzy C-means Clusters
1P. Parameswari and 2J. Abdul Samath
1Department of MCA, Kumaraguru College of Technology
2Department of MCA, Sri Ramakrishna Institute of Technology, Coimbatore, Tamil Nadu, India
Research Journal of Applied Sciences, Engineering and Technology 2015 9:1045-1050
Received: March 19, 2015 | Accepted: April 14, 2015 | Published: July 25, 2015
Abstract
In service oriented computing ranking of best service from service registry is an essential process for service selection. The main objective of this research is to select a best service using fuzzy C-Means clustering. Identifying the best web service among all the existing services is a challenging issue. In the existing system, the ranking process uses a static priority of QoS parameters to find the best service. The first challenge is the customized prioritization of the QoS parameters and the second challenge is the multi-criterion analysis of the data. The proposed system identifies the best service using customized priority. The best service is obtained through a two-level process using fuzzy, c-means clustering algorithm for multi-criterion analysis and the threshold is calculated through the Manhattan distance algorithm. The empirical evaluation of the proposed system concludes that it reduces the time for service ranking.
Keywords:
Fuzzy clustering , multi-criterion , QoS, ranking,
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Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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