Modeling and Analysis of Software Aging and Rejuvenation
SS '00 Proceedings of the 33rd Annual Simulation Symposium
Software Rejuvenation: Analysis, Module and Applications
FTCS '95 Proceedings of the Twenty-Fifth International Symposium on Fault-Tolerant Computing
Proactive management of software aging
IBM Journal of Research and Development
Dependability metrics
Failure-aware workflow scheduling in cluster environments
Cluster Computing
Predicting failures of computer systems: a case study for a telecommunication system
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
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Proactive fault handling combines prevention and repair actions with failure prediction techniques. We extend the standard availability formula by five key measures: (1) precision and (2) recall assess failure prediction while failure handling is gauged by (3) prevention probability, (4) repair time improvement, and (5) risk of introducing additional failures. We give a short survey of actions that are suited to be combined with failure prediction and provide a procedure to estimate the five key measures. Altogether, this allows to quantify the impact of proactive fault handling on system availability and may provide valuable input for system design.