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Optimizing software rejuvenation policy for real time tasks

机译：针对实时任务优化软件更新策略

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摘要

Software rejuvenation is a proactive maintenance technique adopted in diverse and wide applications for mitigating performance deterioration effects of software aging and further preventing the system crash from happening. As the software rejuvenation procedure incurs system overhead and downtime, it is relevant and crucial to optimize the software rejuvenation policy to maximize its benefit and effectiveness. This work considers the optimal rejuvenation policy problem for systems subject to multiple performance degradation levels and performing real-time tasks. The solution encompasses a new iterative method for time-dependent evaluation of the task successful completion probability for the considered real-time systems, enriching and expanding the existing evaluation methodologies for software aging and rejuvenation systems. Based on event transitions, the proposed evaluation method is efficient and applicable to arbitrary types of state transition time distributions. The state-based rejuvenation policy is further optimized to maximize the probability of the task completion by the predetermined deadline. Examples are provided to illustrate applications of the proposed methodology as well as effects of different system parameters on the optimization solution.
机译：软件更新是一种积极主动的维护技术，已广泛应用在各种应用中，以减轻软件老化对性能的影响，并进一步防止系统崩溃。由于软件更新程序会导致系统开销和停机时间，因此优化软件更新策略以最大化其收益和有效性至关重要且至关重要。这项工作考虑了遭受多个性能下降级别并执行实时任务的系统的最佳复兴策略问题。该解决方案包括一种新的迭代方法，用于对所考虑的实时系统进行任务成功完成概率的时间相关性评估，从而丰富和扩展了软件老化和复兴系统的现有评估方法。基于事件转换，所提出的评估方法是有效的，适用于任意类型的状态转换时间分布。基于状态的复兴策略被进一步优化，以在预定的截止日期之前最大化任务完成的可能性。提供示例以说明所提出方法的应用以及不同系统参数对优化解决方案的影响。

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