Exploring subtractive cluster analysis for QoS selection

摘要

This paper presents a new procedure for software service selection based on clustering of software quality data accumulated during the service monitoring. Subtractive clustering is explored as efficient method for quality estimation. It was adapted to deal with the specificity of the selection task. Experimental results on real data web service monitoring are obtained and discussed to prove the proposed method.