QOS Based Web Service Ranking Using Fuzzy C-Means Clusters

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Provided by: Creative Commons
Topic: Networking
Format: PDF
In service oriented computing ranking of best service from service registry is an essential process for service selection. This paper 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.
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