Runtime Prediction of Software Service Availability

This paper presents a prediction model for software service availability measured by the mean-time-to-repair (MTTR) and mean-time-to-failure (MTTF) of a service. The prediction model is based on the experimental identification of probability distribution functions for variables that affect MTTR/MTTF and has been implemented using a framework that we have developed to support monitoring and prediction of quality-of-service properties, called EVEREST+. An initial experimental evaluation of the model is presented in the paper.

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