基于ctmc的集群系统共模失效的中间状态数值分析

2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS) Pub Date : 2017-05-01 DOI:10.1109/ICIS.2017.7960050

Zhiguo Hong, Minyong Shi, Yongbin Wang

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引用次数: 0

摘要

在考虑共模失效和中间状态的情况下，对集群系统的可用性进行了数值分析。首先，用失效率(λ)、修复率(μ)、CMF率(7)、重构率(β)和重置率()等参数构造了包含三个节点的聚类系统的连续时间马尔可夫链(CTMC)模型;然后通过求解多个参数组合的方程来求解CMTC模型的稳态解。随后，通过数值图分析讨论了处于自动恢复模式的概率(k)对集群系统可用性的影响。这项工作提供了集群系统可用性的定量分析。

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CTMC-based numerical analysis of cluster system with middle states in the case of common mode failure

By taking both CMF (Common Mode Failure) and middle states into account, numerical analysis of availability of cluster system is analyzed. Firstly, a CTMC (Continuous Time Markov Chain) model of cluster system containing three cluster nodes is constructed with failure rate (λ), repair rate (μ), CMF rate (7), reconfiguration rate (β) and reset rate (á) etc. Then the steady state solution of the CMTC model is concerned by solving the equations with the combination of several parameters. Subsequently, the effect of probability of being in automatic recovery mode (k) on availability of cluster system is analyzed and discussed via numerical values-based chart thereby. This work offers quantitative analysis of cluster system's availability.

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2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS)

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