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Computing optimal checkpointing strategies for rollback and recovery systems

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2 Author(s)
L'Ecuyer, P. ; Dept of Inf., Laval Univ., Que., Canada ; Malenfant, J.

A numerical approach for computing optimal dynamic checkpointing strategies for general rollback and recovery systems is presented. The system is modeled as a Markov renewal decision process. General failure distributions, random checkpointing durations, and reprocessing-dependent recovery times are allowed. The aim is to find a dynamic decision rule to maximize the average system availability over an infinite time horizon. A computational approach to approximate such a rule is proposed. This approach is based on value-iteration stochastic dynamic programming with spline or finite-element approximation of the value and policy functions. Numerical illustrations are provided

Published in:
Computers, IEEE Transactions on  (Volume:37 ,  Issue: 4 )

Date of Publication: Apr 1988

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