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首页> 外文期刊>Reliability Engineering & System Safety >Warm-spare provisioning computing network with switching failure, common cause failure, vacation interruption, and synchronized reneging
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Warm-spare provisioning computing network with switching failure, common cause failure, vacation interruption, and synchronized reneging

机译：温馨供应计算网络，具有开关故障，常见的原因失败，休假中断，并同步缩销

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摘要

The loss of a node in a computing network, either for unplanned reasons, such as hardware failure, or planned outages, such as upgrades, can result in degraded computing network performance or loss of redundancy. To reduce this possibility, a spare node is kept powered on and visible on the network. In this paper, we study the Markovian warm-spare nodes provisioning computing network where spare nodes may also be predisposed to failure in switching from standby state to the operating state. In addition to switching failure and common cause failure, the realistic and economical maintenance server's modified multiple working vacation policy and failed nodes' synchronized reneging are also considered. Reliability characteristics of the computing network for I/O operations have been derived using transient-state probabilities which have been computed using the theory of the Quasi-Birth-and-Death process, Laplace transforms, Eigenvalue and Eigenvector. The critical analysis of reliability characteristics has also been done and the paper has been enriched with numerical results in the form of tables and graphs to provide a glance at the investigation. The concluding remarks and future scope have also been included.
机译：用于计算网络中的节点丢失，无论是出于平计划的原因，如硬件故障，或计划的中断，如升级，都可能导致计算网络性能或冗余丢失。为减少这种可能性，备用节点在网络上保持电源并可见。在本文中，我们研究了Markovian温备节点供应计算网络，其中备用节点也可以倾向于从待机状态切换到操作状态。除了切换故障和常见的原因失败之外，还考虑了现实和经济的维护服务器的修改后的多个工作度假策略和失败的节点的同步缩销。使用瞬态状态概率来导出用于I / O操作的计算网络的可靠性特性，这些概率已经使用了准出生和死亡过程的理论，拉普拉斯变换，特征值和特征向量来计算。还已经完成了对可靠性特性的临界分析，并通过表格和图表的形式富集了纸张，以便在调查中展望。还包括结束语和未来范围。

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