Research of Software Preventive Rejuvenation policy based on cumulative damage process

To counteract software aging more effectively, a new preventive software rejuvenation policy is proposed in this paper. This technique is implemented when additive consumption of resources has reached level Z(0 < Z les K), it is different from the conventional measurement-based rejuvenation policy, because software system is in low-efficient state and will face high-risk crash probability causing high-cost rejuvenation when additive consumption of resources has reached the threshold level K. As an important resource, physical memory is considered, and its consumption caused by aging-related bugs could be known by tests made at periodic times nT(n = 1, 2, hellip). Using the theory of cumulative processes, expected cost is obtained, and an optimal level Z* which minimizes it is analytically discussed.