Statistical non-parametric algorithms to estimate the optimal software rejuvenation schedule
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Dohi, T; Goševa-Popstojanova, K; Trivedi, KS
Published in: Proceedings of IEEE Pacific Rim International Symposium on Dependable Computing, PRDC
January 1, 2000
In this paper, we extend the classical result by Huang, Kintala, Kolettis and Fulton (1995), and in addition propose a modified stochastic model to determine the software rejuvenation schedule. More precisely, the software rejuvenation models are formulated via the semi-Markov processes, and the optimal software rejuvenation schedules which maximize the system availabilities are derived analytically for respective cases. Further, we develop nonparametric statistical algorithms to estimate the optimal software rejuvenation schedules, provided that the statistical complete (unsensored) sample data of failure times is given. In numerical examples, we examine asymptotic properties for the statistical estimation algorithms.
Duke Scholars
Published In
Proceedings of IEEE Pacific Rim International Symposium on Dependable Computing, PRDC
DOI
ISSN
1541-0110
Publication Date
January 1, 2000
Volume
2000-January
Start / End Page
77 / 84
Citation
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Chicago
ICMJE
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Dohi, T., Goševa-Popstojanova, K., & Trivedi, K. S. (2000). Statistical non-parametric algorithms to estimate the optimal software rejuvenation schedule. In Proceedings of IEEE Pacific Rim International Symposium on Dependable Computing, PRDC (Vol. 2000-January, pp. 77–84). https://doi.org/10.1109/PRDC.2000.897287
Dohi, T., K. Goševa-Popstojanova, and K. S. Trivedi. “Statistical non-parametric algorithms to estimate the optimal software rejuvenation schedule.” In Proceedings of IEEE Pacific Rim International Symposium on Dependable Computing, PRDC, 2000-January:77–84, 2000. https://doi.org/10.1109/PRDC.2000.897287.
Dohi T, Goševa-Popstojanova K, Trivedi KS. Statistical non-parametric algorithms to estimate the optimal software rejuvenation schedule. In: Proceedings of IEEE Pacific Rim International Symposium on Dependable Computing, PRDC. 2000. p. 77–84.
Dohi, T., et al. “Statistical non-parametric algorithms to estimate the optimal software rejuvenation schedule.” Proceedings of IEEE Pacific Rim International Symposium on Dependable Computing, PRDC, vol. 2000-January, 2000, pp. 77–84. Scopus, doi:10.1109/PRDC.2000.897287.
Dohi T, Goševa-Popstojanova K, Trivedi KS. Statistical non-parametric algorithms to estimate the optimal software rejuvenation schedule. Proceedings of IEEE Pacific Rim International Symposium on Dependable Computing, PRDC. 2000. p. 77–84.
Published In
Proceedings of IEEE Pacific Rim International Symposium on Dependable Computing, PRDC
DOI
ISSN
1541-0110
Publication Date
January 1, 2000
Volume
2000-January
Start / End Page
77 / 84