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|
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
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.
Web Service Relevancy Function (WsRF), ANN modeling
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