A Rejuvenation Model for Software System under Normal Attack

Abstract

Software aging is a crucial potential factor that affects software reliability. Software rejuvenation is a main effective method to counteract software aging. Aiming at software system suffering from security attack, a software rejuvenation model based on Markov regenerative stochastic Petri Nets is set up. Then the solution for the steady availability of the new model is derived via Markov regenerative theory. The numeric results show that, the optimal software rejuvenation schedule derived from the model can improve system availability, reduce downtime cost, and resist exterior attacks.