Workload-based analysis of software aging, and rejuvenation
Workload-based analysis of software aging, and rejuvenation
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DOI：
10.1109/tr.2005.853442
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发表时间：
2005-09-01
影响因子：
5.9
通讯作者：
Trivedi, KS
中科院分区：
文献类型：
--
作者：
Bao, YJ;Sun, XB;Trivedi, KS
我们提出了一个层次模型，在系统资源泄漏的存在下，主动故障管理的分析。在模型层次结构的低级别是一个退化模型，在该模型中，我们使用非齐次马尔可夫链来建立资源泄漏和故障率之间的显式连接。利用退化模型，证明了在不存在资源泄漏的情况下，失效率是渐近常数，并且随着泄漏的发生和积累而增加，从而证实了资源泄漏是一个老化源。主动故障管理（PFM）在更高的层次上被建模为半马尔可夫过程。PFM模型作为输入的退化分析，从低层次的模型，并允许我们确定最佳的复兴计划，相对于各种系统措施。
We present a hierarchical model for the analysis of proactive fault management in the presence of system resource leaks. At the low level of the model hierarchy is a degradation model in which we use a nonhomogeneous Markov chain to establish an explicit connection between resource leaks, and the failure rate. With the degradation model, we prove that the failure rate is asymptotically constant in the absence of resource leaks, and it is increasing as leaks occur & accumulate, which confirms the resource leaks as an aging source. The proactive fault management (PFM) is modeled at the higher level as a semi-Markov process. The PFM model takes as input the degradation analysis from the low-level model, and allows us to determine optimal rejuvenation schedules with respect to various system measures.