Software rejuvenation is a proactive fault management technique that has been extensively studied in the recent literature. We focus on an example for a telecommunication billing application considered in Huang et al. (1995) and develop the discrete-time stochastic models to estimate the optimal software rejuvenation schedule. More precisely, two software availability models with rejuvenation are formulated via the discrete semi-Markov processes, and the optimal software rejuvenation schedules which maximize the steady-state availabilities are derived analytically. Further, we develop statistically nonparametric algorithms to estimate the optimal software rejuvenation schedules, provided that the complete sample data of failure times are given. Then, a new statistical device, called discrete total time on test statistics, is introduced. Finally, we examine asymptotic properties for the statistical estimation algorithms proposed in this paper through a simulation experiment.
Beschreibung
IEEE Xplore Abstract - Discrete availability models to rejuvenate a telecommunication billing application
%0 Conference Paper
%1 dohi2002discrete
%A Dohi, T.
%A Iwamoto, K.
%A Okamura, H.
%A Kaio, N.
%B High Assurance Systems Engineering, 2002. Proceedings. 7th IEEE International Symposium on
%D 2002
%K availability discrete models
%P 159-166
%R 10.1109/HASE.2002.1173117
%T Discrete availability models to rejuvenate a telecommunication billing application
%U http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1173117&tag=1
%X Software rejuvenation is a proactive fault management technique that has been extensively studied in the recent literature. We focus on an example for a telecommunication billing application considered in Huang et al. (1995) and develop the discrete-time stochastic models to estimate the optimal software rejuvenation schedule. More precisely, two software availability models with rejuvenation are formulated via the discrete semi-Markov processes, and the optimal software rejuvenation schedules which maximize the steady-state availabilities are derived analytically. Further, we develop statistically nonparametric algorithms to estimate the optimal software rejuvenation schedules, provided that the complete sample data of failure times are given. Then, a new statistical device, called discrete total time on test statistics, is introduced. Finally, we examine asymptotic properties for the statistical estimation algorithms proposed in this paper through a simulation experiment.
@inproceedings{dohi2002discrete,
abstract = {Software rejuvenation is a proactive fault management technique that has been extensively studied in the recent literature. We focus on an example for a telecommunication billing application considered in Huang et al. (1995) and develop the discrete-time stochastic models to estimate the optimal software rejuvenation schedule. More precisely, two software availability models with rejuvenation are formulated via the discrete semi-Markov processes, and the optimal software rejuvenation schedules which maximize the steady-state availabilities are derived analytically. Further, we develop statistically nonparametric algorithms to estimate the optimal software rejuvenation schedules, provided that the complete sample data of failure times are given. Then, a new statistical device, called discrete total time on test statistics, is introduced. Finally, we examine asymptotic properties for the statistical estimation algorithms proposed in this paper through a simulation experiment.},
added-at = {2014-08-28T12:22:52.000+0200},
author = {Dohi, T. and Iwamoto, K. and Okamura, H. and Kaio, N.},
biburl = {https://www.bibsonomy.org/bibtex/231a9d255f4a308a5ced1a03642f4d225/avail_map_stud},
booktitle = {High Assurance Systems Engineering, 2002. Proceedings. 7th IEEE International Symposium on},
description = {IEEE Xplore Abstract - Discrete availability models to rejuvenate a telecommunication billing application},
doi = {10.1109/HASE.2002.1173117},
interhash = {74f98a542fc46dcb4053c88a5ed1e9c6},
intrahash = {31a9d255f4a308a5ced1a03642f4d225},
issn = {1530-2059},
keywords = {availability discrete models},
pages = {159-166},
timestamp = {2014-08-28T12:22:52.000+0200},
title = {Discrete availability models to rejuvenate a telecommunication billing application},
url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1173117&tag=1},
year = 2002
}