Non-parametric Predictive Inference of Preventive Rejuvenation Schedule in Operational Software Systems

In this paper we develop a novel approach to estimate the optimal preventive rejuvenation schedule which maximizes the steady-state system availability. In the case with unknown system failure time distribution, the preventive rejuvenation is triggered for the purpose of preventive maintenance of software system. We formulate the upper and lower bounds of the predictive system availability using the one-look ahead predictive survivor function, and derive the pessimistic and optimistic rejuvenation policies. In the real data analysis we focus on a real Web server system and show the usefulness of the non-parametric predictive inference approach proposed in this paper.