Reliability Estimation of Services Oriented Systems Using Adaptive Neuro Fuzzy Inference System


In order to make system reliable, it should inhibit guarantee for basic service, data flow, composition of services, and the complete workflow. In service-oriented architecture (SOA), the entire software system consists of an interacting group of autonomous services. Some soft computing approaches have been developed for estimating the reliability of service oriented systems (SOSs). Still much more research is expected to estimate reliability in a better way. In this paper, we proposed SoS reliability based on an adaptive neuro fuzzy inference system (ANFIS) approach. We estimated the reliability based on some defined parameter. Moreover, we compared its performance with a plain FIS (fuzzy inference system) for similar data sets and found the proposed approach gives better reliability estimation.

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Seth, A. , Agarwal, H. and Singla, A. (2014) Reliability Estimation of Services Oriented Systems Using Adaptive Neuro Fuzzy Inference System. Journal of Software Engineering and Applications, 7, 581-591. doi: 10.4236/jsea.2014.77054.

Conflicts of Interest

The authors declare no conflicts of interest.


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