IEICE TRANSACTIONS on Information
Estimating Periodic Software Rejuvenation Schedules under Discrete-Time Operation Circumstance
Summary :
Software rejuvenation is a preventive and proactive solution that is particularly useful for counteracting the phenomenon of software aging. In this article, we consider periodic software rejuvenation models based on the expected cost per unit time in the steady state under discrete-time operation circumstance. By applying the discrete renewal reward processes, we describe the stochastic behavior of a telecommunication billing application with a degradation mode, and determine the optimal periodic software rejuvenation schedule minimizing the expected cost. Similar to the earlier work by the same authors, we develop a statistically non-parametric algorithm to estimate the optimal software rejuvenation schedule, by applying the discrete total time on test concept. Numerical examples are presented to estimate the optimal software rejuvenation schedules from the simulation data. We discuss the asymptotic behavior of estimators developed in this paper.
- Publication
- IEICE TRANSACTIONS on Information Vol.E91-D No.1 pp.23-31
- Publication Date
- 2008/01/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1093/ietisy/e91-d.1.23
- Type of Manuscript
- PAPER
- Category
- Dependable Computing
Authors
Keyword
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Kazuki IWAMOTO, Tadashi DOHI, Naoto KAIO, "Estimating Periodic Software Rejuvenation Schedules under Discrete-Time Operation Circumstance" in IEICE TRANSACTIONS on Information,
vol. E91-D, no. 1, pp. 23-31, January 2008, doi: 10.1093/ietisy/e91-d.1.23.
Abstract: Software rejuvenation is a preventive and proactive solution that is particularly useful for counteracting the phenomenon of software aging. In this article, we consider periodic software rejuvenation models based on the expected cost per unit time in the steady state under discrete-time operation circumstance. By applying the discrete renewal reward processes, we describe the stochastic behavior of a telecommunication billing application with a degradation mode, and determine the optimal periodic software rejuvenation schedule minimizing the expected cost. Similar to the earlier work by the same authors, we develop a statistically non-parametric algorithm to estimate the optimal software rejuvenation schedule, by applying the discrete total time on test concept. Numerical examples are presented to estimate the optimal software rejuvenation schedules from the simulation data. We discuss the asymptotic behavior of estimators developed in this paper.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e91-d.1.23/_p
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@ARTICLE{e91-d_1_23,
author={Kazuki IWAMOTO, Tadashi DOHI, Naoto KAIO, },
journal={IEICE TRANSACTIONS on Information},
title={Estimating Periodic Software Rejuvenation Schedules under Discrete-Time Operation Circumstance},
year={2008},
volume={E91-D},
number={1},
pages={23-31},
abstract={Software rejuvenation is a preventive and proactive solution that is particularly useful for counteracting the phenomenon of software aging. In this article, we consider periodic software rejuvenation models based on the expected cost per unit time in the steady state under discrete-time operation circumstance. By applying the discrete renewal reward processes, we describe the stochastic behavior of a telecommunication billing application with a degradation mode, and determine the optimal periodic software rejuvenation schedule minimizing the expected cost. Similar to the earlier work by the same authors, we develop a statistically non-parametric algorithm to estimate the optimal software rejuvenation schedule, by applying the discrete total time on test concept. Numerical examples are presented to estimate the optimal software rejuvenation schedules from the simulation data. We discuss the asymptotic behavior of estimators developed in this paper.},
keywords={},
doi={10.1093/ietisy/e91-d.1.23},
ISSN={1745-1361},
month={January},}
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TY - JOUR
TI - Estimating Periodic Software Rejuvenation Schedules under Discrete-Time Operation Circumstance
T2 - IEICE TRANSACTIONS on Information
SP - 23
EP - 31
AU - Kazuki IWAMOTO
AU - Tadashi DOHI
AU - Naoto KAIO
PY - 2008
DO - 10.1093/ietisy/e91-d.1.23
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E91-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2008
AB - Software rejuvenation is a preventive and proactive solution that is particularly useful for counteracting the phenomenon of software aging. In this article, we consider periodic software rejuvenation models based on the expected cost per unit time in the steady state under discrete-time operation circumstance. By applying the discrete renewal reward processes, we describe the stochastic behavior of a telecommunication billing application with a degradation mode, and determine the optimal periodic software rejuvenation schedule minimizing the expected cost. Similar to the earlier work by the same authors, we develop a statistically non-parametric algorithm to estimate the optimal software rejuvenation schedule, by applying the discrete total time on test concept. Numerical examples are presented to estimate the optimal software rejuvenation schedules from the simulation data. We discuss the asymptotic behavior of estimators developed in this paper.
ER -
English
