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

Abstract

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.

Estimate reliability of component-based software sys-tem using modified neuro fuzzy model

“…Goswami and Acharya (2009) proposed an approach to CBSS reliability anal-ysis which takes the component usage ratio, which is the time allotted for a component's execution out of the application's overall execution time, into consideration. Mathematical formulae are used to calculate the usage ratio [1]. This approach can be used in real-time applications, because of its flexibility.…”