Abstract
Recently, a complementary approach to handle transient software failures, called software rejuvenation, is becoming popular as a proactive fault management technique in operational software systems. In this study, we develop the optimal scheduling algorithms to trigger software rejuvenation in distributed computation circumstance. In particular, we focus on two different computation circumstances in terms of detection of failures. Based on the dynamic programming, we derive the optimal software rejuvenation schedule which minimizes the expected total time of computation. In numerical examples, we examine the sensitivity of model parameters characterizing the failure phenomenon to the resulting optimal rejuvenation schedule.
Highlights
It has been recognized for a long time that software system never deteriorates in operational phases
In order to prevent the process deadlock, it would be useful to execute an occasional software rejuvenation such as garbage collection and re-scheduling of transmitted messages. In such a distributed computation circumstance, we propose rejuvenation scheduling algorithms based on the dynamic programming (DP) and minimize the expected total time of computation
This study has considered the optimal scheduling problems with software rejuvenation in the distributed computation
Summary
It has been recognized for a long time that software system never deteriorates in operational phases. J. Computer Sci., 2 (6): 505-512, 2006 measures and develop the computation methods of the optimal software rejuvenation schedule. As an alternative modeling approach, Garg et al.[16] model a transaction-based software system involving arrival and service processes and evaluate the effect of transient failures on the time-based rejuvenation schedule. We consider a software rejuvenation scheduling problem in a distributed computation circumstance.
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