In this paper, we consider the similar software cost models with periodic rejuvenation to Garg, Puliafito, Telek and Trivedi (1995) under the cost effectiveness criteria. First, an alternative model as well as the original one are analyzed by Markov regenerative processes. We derive analytically the optimal periodic software rejuvenation policies which maximize the cost-effectiveness in the steady state for two models. Further, we develop statistical non-parametric algorithms to estimate the optimal software rejuvenation policies, provided that the sample data to characterize the system failure times are given. Then, the total time on test (TTT) concept is used. In numerical examples, we compare the periodic software rejuvenation policy with the non-periodic one, and investigate the asymptotic properties of the non-parametric estimators for the optimal software rejuvenation policies through a simulation experiment.
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Hiroaki SUZUKI, Tadashi DOHI, Hiroyuki OKAMURA, "Cost-Effective Analysis of Software Systems with Periodic Rejuvenation" in IEICE TRANSACTIONS on Fundamentals,
vol. E85-A, no. 12, pp. 2923-2932, December 2002, doi: .
Abstract: In this paper, we consider the similar software cost models with periodic rejuvenation to Garg, Puliafito, Telek and Trivedi (1995) under the cost effectiveness criteria. First, an alternative model as well as the original one are analyzed by Markov regenerative processes. We derive analytically the optimal periodic software rejuvenation policies which maximize the cost-effectiveness in the steady state for two models. Further, we develop statistical non-parametric algorithms to estimate the optimal software rejuvenation policies, provided that the sample data to characterize the system failure times are given. Then, the total time on test (TTT) concept is used. In numerical examples, we compare the periodic software rejuvenation policy with the non-periodic one, and investigate the asymptotic properties of the non-parametric estimators for the optimal software rejuvenation policies through a simulation experiment.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e85-a_12_2923/_p
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@ARTICLE{e85-a_12_2923,
author={Hiroaki SUZUKI, Tadashi DOHI, Hiroyuki OKAMURA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Cost-Effective Analysis of Software Systems with Periodic Rejuvenation},
year={2002},
volume={E85-A},
number={12},
pages={2923-2932},
abstract={In this paper, we consider the similar software cost models with periodic rejuvenation to Garg, Puliafito, Telek and Trivedi (1995) under the cost effectiveness criteria. First, an alternative model as well as the original one are analyzed by Markov regenerative processes. We derive analytically the optimal periodic software rejuvenation policies which maximize the cost-effectiveness in the steady state for two models. Further, we develop statistical non-parametric algorithms to estimate the optimal software rejuvenation policies, provided that the sample data to characterize the system failure times are given. Then, the total time on test (TTT) concept is used. In numerical examples, we compare the periodic software rejuvenation policy with the non-periodic one, and investigate the asymptotic properties of the non-parametric estimators for the optimal software rejuvenation policies through a simulation experiment.},
keywords={},
doi={},
ISSN={},
month={December},}
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TY - JOUR
TI - Cost-Effective Analysis of Software Systems with Periodic Rejuvenation
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2923
EP - 2932
AU - Hiroaki SUZUKI
AU - Tadashi DOHI
AU - Hiroyuki OKAMURA
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E85-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2002
AB - In this paper, we consider the similar software cost models with periodic rejuvenation to Garg, Puliafito, Telek and Trivedi (1995) under the cost effectiveness criteria. First, an alternative model as well as the original one are analyzed by Markov regenerative processes. We derive analytically the optimal periodic software rejuvenation policies which maximize the cost-effectiveness in the steady state for two models. Further, we develop statistical non-parametric algorithms to estimate the optimal software rejuvenation policies, provided that the sample data to characterize the system failure times are given. Then, the total time on test (TTT) concept is used. In numerical examples, we compare the periodic software rejuvenation policy with the non-periodic one, and investigate the asymptotic properties of the non-parametric estimators for the optimal software rejuvenation policies through a simulation experiment.
ER -