Optimal Trigger Time of Software Rejuvenation under Probabilistic Opportunities
Summary :
This paper presents the opportunity-based software rejuvenation policy and the optimization problem of software rejuvenation trigger time maximizing the system performance index. Our model is based on a basic semi-Markov software rejuvenation model by Dohi et al. 2000 under the environment where possible time, called opportunity, to execute software rejuvenation is limited. In the paper, we consider two stochastic point processes; renewal process and Markovian arrival process to represent the opportunity process. In particular, we derive the existence condition of the optimal trigger time under the two point processes analytically. In numerical examples, we illustrate the optimal design of the rejuvenation trigger schedule based on empirical data.
- Publication
- IEICE TRANSACTIONS on Information Vol.E96-D No.9 pp.1933-1940
- Publication Date
- 2013/09/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E96.D.1933
- Type of Manuscript
- Special Section PAPER (Special Section on Dependable Computing)
- Category
Authors
Hiroyuki OKAMURA
Hiroshima University
Tadashi DOHI
Hiroshima University
Keyword
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Hiroyuki OKAMURA, Tadashi DOHI, "Optimal Trigger Time of Software Rejuvenation under Probabilistic Opportunities" in IEICE TRANSACTIONS on Information,
vol. E96-D, no. 9, pp. 1933-1940, September 2013, doi: 10.1587/transinf.E96.D.1933.
Abstract: This paper presents the opportunity-based software rejuvenation policy and the optimization problem of software rejuvenation trigger time maximizing the system performance index. Our model is based on a basic semi-Markov software rejuvenation model by Dohi et al. 2000 under the environment where possible time, called opportunity, to execute software rejuvenation is limited. In the paper, we consider two stochastic point processes; renewal process and Markovian arrival process to represent the opportunity process. In particular, we derive the existence condition of the optimal trigger time under the two point processes analytically. In numerical examples, we illustrate the optimal design of the rejuvenation trigger schedule based on empirical data.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E96.D.1933/_p
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@ARTICLE{e96-d_9_1933,
author={Hiroyuki OKAMURA, Tadashi DOHI, },
journal={IEICE TRANSACTIONS on Information},
title={Optimal Trigger Time of Software Rejuvenation under Probabilistic Opportunities},
year={2013},
volume={E96-D},
number={9},
pages={1933-1940},
abstract={This paper presents the opportunity-based software rejuvenation policy and the optimization problem of software rejuvenation trigger time maximizing the system performance index. Our model is based on a basic semi-Markov software rejuvenation model by Dohi et al. 2000 under the environment where possible time, called opportunity, to execute software rejuvenation is limited. In the paper, we consider two stochastic point processes; renewal process and Markovian arrival process to represent the opportunity process. In particular, we derive the existence condition of the optimal trigger time under the two point processes analytically. In numerical examples, we illustrate the optimal design of the rejuvenation trigger schedule based on empirical data.},
keywords={},
doi={10.1587/transinf.E96.D.1933},
ISSN={1745-1361},
month={September},}
Copy
TY - JOUR
TI - Optimal Trigger Time of Software Rejuvenation under Probabilistic Opportunities
T2 - IEICE TRANSACTIONS on Information
SP - 1933
EP - 1940
AU - Hiroyuki OKAMURA
AU - Tadashi DOHI
PY - 2013
DO - 10.1587/transinf.E96.D.1933
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E96-D
IS - 9
JA - IEICE TRANSACTIONS on Information
Y1 - September 2013
AB - This paper presents the opportunity-based software rejuvenation policy and the optimization problem of software rejuvenation trigger time maximizing the system performance index. Our model is based on a basic semi-Markov software rejuvenation model by Dohi et al. 2000 under the environment where possible time, called opportunity, to execute software rejuvenation is limited. In the paper, we consider two stochastic point processes; renewal process and Markovian arrival process to represent the opportunity process. In particular, we derive the existence condition of the optimal trigger time under the two point processes analytically. In numerical examples, we illustrate the optimal design of the rejuvenation trigger schedule based on empirical data.
ER -
English
