TY  - JOUR
AU  - Eto, Hiroyuki 
AU  - Dohi, Tadashi 
PY  - 2006
TI  - Determining the Optimal Software Rejuvenation Schedule via Semi-Markov Decision Process 
JF  - Journal of Computer Science
VL  - 2
IS  - 6
DO  - 10.3844/jcssp.2006.528.534
UR  - https://thescipub.com/abstract/jcssp.2006.528.534
AB  - Software rejuvenation is a preventive and proactive maintenance policy that is particularly
useful for counteracting the phenomenon of software aging. In this study we consider an operational
software system with multiple degradations and derive the optimal software rejuvenation policy
minimizing the expected operation cost per unit time in the steady state, via the dynamic programming
approach. Especially, we show analytically that the control-limit type of software rejuvenation policy is
optimal. A numerical example is presented to make a decision table and to perform the sensitivity
analysis of cost parameters.