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On the optimization of free resources using non-homogeneous Markov chain software rejuvenation model

机译：基于非齐次马尔可夫链软件回春模型的自由资源优化

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摘要

Software rejuvenation is an important way to counteract the phenomenon of software aging and system failures. It is a preventive and proactive technique, which consists of periodically restarting an application at a clean internal state. Starting an application generally means that an amount of memory is captured and closing an application engenders the release of an amount of memory. In general, when an application is initiated an amount of memory is captured and when terminated an amount of memory is released. In this paper a model describing the amount of free memory on a system is presented. The modelling is formulated under a continuous time Markov chain framework. Additionally the cost of performing rejuvenation is also taken into consideration, a cost function for the model is produced and a rejuvenation policy is proposed. The contribution of this paper consists of using a cyclic non-homogeneous Markov chain in order to study the overall behaviour of the system capturing time dependence of the rejuvenation rates and deriving an optimal rejuvenation policy. Finally, a case study is presented in order to illustrate the results of the cost analysis.
机译：软件更新是应对软件老化和系统故障现象的重要方法。这是一种预防性和前摄性的技术，包括以干净的内部状态定期重新启动应用程序。启动应用程序通常意味着已捕获了一定数量的内存，而关闭应用程序将导致释放一定数量的内存。通常，启动应用程序时会捕获一定数量的内存，而终止时会释放一定数量的内存。在本文中，提出了描述系统上可用内存量的模型。该模型是在连续时间马尔可夫链框架下制定的。另外，还考虑了进行修复的成本，产生了模型的成本函数，并提出了修复策略。本文的贡献包括使用循环非齐次马尔可夫链，以研究系统的整体行为，以捕获年轻化率的时间依赖性并得出最佳的年轻化策略。最后，提出了一个案例研究，以说明成本分析的结果。

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