Toward high assurance software systems with adaptive fault management

Abstract

In this paper, we develop an adaptive approach to estimate the optimal preventive rejuvenation schedule, which maximizes the steady-state system availability. We formulate the upper and lower bounds of the predictive system availability using the one-look ahead predictive survival function from system failure time data and derive the pessimistic and optimistic rejuvenation policies. Then, we derive adaptive rejuvenation policies from the original data together with a right-censored observation. In the simulation experiments, we show the usefulness of the adaptive nonparametric predictive inference approach proposed in this paper.