• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Reliability Engineering & System Safety >Optimization of partial software rejuvenation policy
【24h】

Optimization of partial software rejuvenation policy

机译：优化部分软件复兴政策

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This paper models a real-time software system performing state-based partial rejuvenations for counteracting performance deterioration effects caused by software aging. The decision on performing each rejuvenation, recovery state and corresponding rejuvenation time depend on both the system degradation level (state) and task operations completed immediately before the rejuvenation action. Full rejuvenations where the system performance is recovered to the peak level appear as a special case of the considered rejuvenation model when the recovery state after performing the rejuvenation is the initial perfect state. We suggest an iterative numerical method based on event transitions for assessing the successful completion probability of a real-time task performed by the considered software system. The proposed method has no limitation on the distribution type of any state sojourn time (or state transition time). We further optimize the state-based partial rejuvenation policy for maximizing the probability of completing a particular real-time task. Impacts of different parameters on the optimization solution are demonstrated through examples, including the discretization parameter used in the suggested numerical algorithm, real-time task deadline, and rejuvenation time parameter.
机译：本文模拟了一种实时软件系统，执行基于状态的部分恢复剂，以抵消由软件老化引起的性能恶化效果。执行每个恢复，恢复状态和相应的复兴时间的决定取决于系统退化级别（州）和任务操作在重新培养行动之前完成。当在执行恢复后的恢复状态是初始完美状态时，系统性能被恢复到峰值级别的完整复兴显示为所考虑的复兴模型的特殊情况。我们建议一种基于事件转换的迭代数值方法，用于评估由所考虑的软件系统执行的实时任务的成功完成概率。所提出的方法对任何状态均匀时间（或状态转换时间）的分布类型没有限制。我们进一步优化了基于状态的部分恢复策略，以最大化完成特定实时任务的概率。通过示例演示了不同参数对优化解决方案的影响，包括所提出的数值算法，实时任务截止日期和复兴时间参数中使用的离散化参数。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号