Atomic Web Service Reliability Prediction
Preethi W1, Binu Rajan M R2
1Preethi W, Department of Computer Science, Sree Chitra Thirunal College of Engineering, Thiruvananthapuram (Kerala), India.
2Binu Rajan M R, Assistant Professor, Department of Computer Science, Sree Chitra Thirunal College of Engineering, Thiruvananthapuram (Kerala), India.
Manuscript received on 10 October 2016 | Revised Manuscript received on 18 October 2016 | Manuscript Published on 30 October 2016 | PP: 42-47 | Volume-6 Issue-1, October 2016 | Retrieval Number: A4739106116/16©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Web service is one of the main supporting underlying technologies in Service Oriented Architecture (SOA). This work is focused on atomic web service reliability, as one of the most important non-functional properties. Service reliability can be defined as the probability that a service invocation gets retrieved successfully, i.e. correct response to the service invocation gets successfully retrieved under the specified conditions and the time constraints. A model-based collaborative filtering approach CLUS (CLUStering) is used to estimate the reliability of an ongoing web service. It considers user, service and environment specific parameters to provide a more accurate description of the service invocation context. Incorporating KStrings clustering algorithm is highly prominent for clustering of high dimensional data rather than using K-Means algorithm. This aims to generate higher accuracy and efficiency to the prediction model.
Keywords: Reliability Prediction, K-Strings, Atomic Web Services, Qos Prediction, K-Means.
Scope of the Article: Prediction of Structures