TITLE:
Reliability Estimation of Services Oriented Systems Using Adaptive Neuro Fuzzy Inference System
AUTHORS:
Ashish Seth, Himanshu Agarwal, Ashim Raj Singla
KEYWORDS:
Reliability Estimation, SOA, Fuzzy, Rule-Based, Reliability Model, Soft Computing
JOURNAL NAME:
Journal of Software Engineering and Applications,
Vol.7 No.7,
June
10,
2014
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.