Discrete availability models to rejuvenate a telecommunication billing application
Discrete availability models to rejuvenate a telecommunication billing application
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离散可用性模型使电信计费应用程序焕发活力
DOI：
10.1109/hase.2002.1173117
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发表时间：
2002
期刊：
影响因子：
--
通讯作者：
N. Kaio
中科院分区：
文献类型：
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作者：
T. Dohi;K. Iwamoto;H. Okamura;N. Kaio
软件再生是一种主动的故障管理技术，在最近的文献中得到了广泛的研究。我们专注于一个例子，在黄等人（1995年）考虑电信计费应用程序和开发的离散时间随机模型来估计最佳的软件复兴计划。更准确地说，两个软件的可用性模型与再生制定通过离散半马尔可夫过程，并推导出最佳的软件再生计划，最大限度地提高稳态可用性。此外，我们开发了统计非参数算法来估计最优的软件复兴计划，提供了完整的样本数据的故障时间。然后，介绍了一种新的统计装置，称为离散总测试时间统计量。最后，我们通过模拟实验研究了本文提出的统计估计算法的渐近性质。
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.