Online reliability prediction of service composition
Zuohua Ding, Ting Xu, Mei-Hwa Chen · 2014
Reliability is an important quality attribute for service oriented software. Existing approaches use static data collected from the testing to predict the software reliability. These approaches do not address the dynamism of service behavior after deployment. In this paper, we propose a method from any time moment to predict reliability of service composition in the near future. We first collect the service runtime data to predict the future failure data by using the ARIMA model. We then predict the reliability of each port based on the Nelson model, and nally we can compute the reliability of composite services. An Online Shop example is used to demonstrate the eectiveness of our method.