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Analysis of software rejuvenation using Markov Regenerative Stochastic Petri Net
Abstract
In a client-server type system, the server software is required to run continuously for very long periods. Due to repeated and potentially faulty usage by many clients, such software "ages" with time and eventually fails. (Huang et al., 1995) proposed a technique called "software rejuvenation" in which the software is periodically stopped and then restarted in a "robust" state after proper maintenance. This "renewal" of software prevents (or at least postpones) the crash failure. As the time lost (or the cost incurred) due to the software failure is typically more than the time lost (or the cost incurred) due to rejuvenation, the technique reduces the expected unavailability of the software. We present a quantitative analysis of software rejuvenation. The behavior of the system is represented through a Markov Regenerative Stochastic Petri Net (MRSPN) model which is solved both for steady state as well as transient conditions. We provide a closed-form analytical solution for the steady state expected down time (and the expected cost incurred) due to system unavailability. We also evaluate the optimal rejuvenation interval which minimizes the expected unavailability of the software.
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Cited by
Analysis of Software Aging in a Web Server
Grottke, M., Li, L., Vaidyanathan, K., & Trivedi, K. S. (2006) · IEEE Transactions on Reliability · doi:10.1109/tr.2006.879609 · Cited by 285
Self-citationA survey of AIOps methods for failure management
Notaro, P., Cardoso, J., & Gerndt, M. (2021) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/3483424 · Cited by 142
Metadata
- Authors
- Garg, S., Puliafito, A., Telek, M., & Trivedi, K. S.
- Venue
- Proceedings of Sixth International Symposium on Software Reliability Engineering. ISSRE'95
- Publisher
- IEEE Comput. Soc. Press
- Published
- 2002-11-19
- Pages
- 180-187
- OpenAlex
- W1874259713
- Cited by
- 215
- References
- 0
- FWCI
- 9.36
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Garg, S., Puliafito, A., Telek, M., & Trivedi, K. S. (2002). Analysis of software rejuvenation using Markov Regenerative Stochastic Petri Net. Proceedings of Sixth International Symposium on Software Reliability Engineering. ISSRE'95. https://doi.org/10.1109/issre.1995.497656
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