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Applications of Neural Networks for Ranking of Web Services using QoS Metrics

International Journal of Electronics and Communication Engineering
© 2014 by SSRG - IJECE Journal
Volume 1 Issue 1
Year of Publication : 2014
Authors : Dr.M.Kamalahhasan
10.14445/23488549/IJECE-V1I1P102
pdf
How to Cite?

Dr.M.Kamalahhasan, "Applications of Neural Networks for Ranking of Web Services using QoS Metrics," SSRG International Journal of Electronics and Communication Engineering, vol. 1,  no. 1, pp. 4-7, 2014. Crossref, https://doi.org/10.14445/23488549/IJECE-V1I1P102

Abstract:

Web Service is defined as "a software system designed to support interoperable machine-to-machine interaction over a network". Web service discovery is the process of finding a suitable Web service for given task.. Discovering web services can be based on keyword search or QoS metrics. Different web services may have same functionality but may have different non-functional properties. QoS metrics are useful when a client wants to select a service from a set of available services having the same functional properties. In this paper we report the performance of various Artificial Neural Network (ANN) training algorithms in predicting the ranking of a web service.

Keywords:

Web Service Relevancy Function (WsRF), ANN modeling

References:

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