IEICE TRANSACTIONS on Information
Fine-Grained Shock Models to Rejuvenate Software Systems
Summary :
The software rejuvenation is a proactive fault management technique for operational software systems which age due to the error conditions that accrue with time and/or load, and is important for high assurance systems design. In this paper, fine-grained shock models are developed to determine the optimal rejuvenation policies which maximize the system availability. We introduce three kinds of rejuvenation schemes and calculate the optimal software rejuvenation schedules maximizing the system availability for respective schemes. The stochastic models with three rejuvenation policies are extentions of Bobbio et al. (1998, 2001) and represent the failure phenomenon due to the exhaustion of the software resources caused by the memory leak, the fragmentation, etc. Numerical examples are devoted to compare three control schemes quantitatively.
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- IEICE TRANSACTIONS on Information Vol.E86-D No.10 pp.2165-2171
- Publication Date
- 2003/10/01
- Publicized
- Online ISSN
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- Type of Manuscript
- Special Section LETTER (IEICE/IEEE Joint Special Issue on Assurance Systems and Networks)
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Hiroki FUJIO, Hiroyuki OKAMURA, Tadashi DOHI, "Fine-Grained Shock Models to Rejuvenate Software Systems" in IEICE TRANSACTIONS on Information,
vol. E86-D, no. 10, pp. 2165-2171, October 2003, doi: .
Abstract: The software rejuvenation is a proactive fault management technique for operational software systems which age due to the error conditions that accrue with time and/or load, and is important for high assurance systems design. In this paper, fine-grained shock models are developed to determine the optimal rejuvenation policies which maximize the system availability. We introduce three kinds of rejuvenation schemes and calculate the optimal software rejuvenation schedules maximizing the system availability for respective schemes. The stochastic models with three rejuvenation policies are extentions of Bobbio et al. (1998, 2001) and represent the failure phenomenon due to the exhaustion of the software resources caused by the memory leak, the fragmentation, etc. Numerical examples are devoted to compare three control schemes quantitatively.
URL: https://global.ieice.org/en_transactions/information/10.1587/e86-d_10_2165/_p
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@ARTICLE{e86-d_10_2165,
author={Hiroki FUJIO, Hiroyuki OKAMURA, Tadashi DOHI, },
journal={IEICE TRANSACTIONS on Information},
title={Fine-Grained Shock Models to Rejuvenate Software Systems},
year={2003},
volume={E86-D},
number={10},
pages={2165-2171},
abstract={The software rejuvenation is a proactive fault management technique for operational software systems which age due to the error conditions that accrue with time and/or load, and is important for high assurance systems design. In this paper, fine-grained shock models are developed to determine the optimal rejuvenation policies which maximize the system availability. We introduce three kinds of rejuvenation schemes and calculate the optimal software rejuvenation schedules maximizing the system availability for respective schemes. The stochastic models with three rejuvenation policies are extentions of Bobbio et al. (1998, 2001) and represent the failure phenomenon due to the exhaustion of the software resources caused by the memory leak, the fragmentation, etc. Numerical examples are devoted to compare three control schemes quantitatively.},
keywords={},
doi={},
ISSN={},
month={October},}
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TY - JOUR
TI - Fine-Grained Shock Models to Rejuvenate Software Systems
T2 - IEICE TRANSACTIONS on Information
SP - 2165
EP - 2171
AU - Hiroki FUJIO
AU - Hiroyuki OKAMURA
AU - Tadashi DOHI
PY - 2003
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E86-D
IS - 10
JA - IEICE TRANSACTIONS on Information
Y1 - October 2003
AB - The software rejuvenation is a proactive fault management technique for operational software systems which age due to the error conditions that accrue with time and/or load, and is important for high assurance systems design. In this paper, fine-grained shock models are developed to determine the optimal rejuvenation policies which maximize the system availability. We introduce three kinds of rejuvenation schemes and calculate the optimal software rejuvenation schedules maximizing the system availability for respective schemes. The stochastic models with three rejuvenation policies are extentions of Bobbio et al. (1998, 2001) and represent the failure phenomenon due to the exhaustion of the software resources caused by the memory leak, the fragmentation, etc. Numerical examples are devoted to compare three control schemes quantitatively.
ER -
English
