Name
Abstract | ||
|---|---|---|
In recent studies, the phenomenon of software “aging” has come to light which causes performance of a software to degrade with time. Software rejuvenation is a fault tolerance technique which counteracts aging. In this paper, we address the problem of determining the optimal time to rejuvenate a server type software which experiences “soft failures” (witnessed in telecommunication systems) because of aging. The service rate of the software gradually decreases with time and settles to a very low value. Since the performability in this state is unacceptable, it is necessary to “renew” the software to its peak performance level. We develop Markov decision models for such a system for two different queuing policies. For each policy, we define the look-ahead- n cost functions and prove results on the convergence of these functions to the optimal minimal cost function. We also prove simple rules to determine optimal times to rejuvenate for a realistic cost criterion. Finally, the results are illustrated numerically and the effectiveness of the MDP model is compared with that of the simple rules. |
Year | DOI | Venue |
|---|---|---|
1996 | 10.1016/0166-5316(96)00038-7 | Perform. Eval. |
Keywords | Field | DocType |
soft failure,markov decision process,fault tolerant systems,optimal software rejuvenation,software rejuvenation,optimal stopping problem,cost function,look ahead,decision models,fault tolerant system,fault tolerant | Optimal stopping,Computer science,Markov chain,Markov decision process,Real-time computing,Software rejuvenation,Software,Fault tolerance,Software aging,Decision model,Distributed computing | Journal |
Volume | ISSN | Citations |
27-28, | Performance Evaluation | 27 |
PageRank | References | Authors |
1.86 | 6 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| András Pfening | 1 | 58 | 9.61 |
| Sachin Garg | 2 | 808 | 75.97 |
| Antonio Puliafito | 3 | 1562 | 145.29 |
| Miklós Telek | 4 | 922 | 102.56 |
| Trivedi, K.S. | 5 | 7721 | 700.23 |