A Path Diversity Metric for End-to-End Network

Song Huang, Yong Xu, Ling Zhang
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引用次数: 8

Abstract

Path diversity is an important index of the dependability and fault tolerance capability of networks. Most path diversity metrics are designed under an implicit hypothesis that all candidate paths for a divergence node are always equally chosen. This may not be true due to the effect of routing policy with consideration of cost or other factors. A new simple metric is proposed in this paper for path diversity measurement of end-to-end networks. An end-to-end network is firstly transformed into a sequence of cascading segments. With the assumption that only one of all available branches is chosen each time, a probability based metric is calculated for each segment, and the joint entropy is calculated as path diversity measurement for the overall end-to-end network. The metric is fitful for both single-hop and multi-hop topologies. A comparison between the new metric and other ones is given at the end.
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端到端网络的路径分集度量
路径分集是衡量网络可靠性和容错能力的重要指标。大多数路径多样性指标都是在一个隐式假设下设计的,即发散节点的所有候选路径总是被平等地选择。由于考虑成本或其他因素的路由策略的影响,这可能不是真的。提出了一种新的简单的端到端网络路径分集度量方法。端到端网络首先被转换成一系列的级联网段。在假设每次只选择一个可用分支的情况下,计算每个分支的概率度量,并计算联合熵作为整个端到端网络的路径多样性度量。该度量对于单跳和多跳拓扑都是断断续续的。最后给出了新度量与其他度量的比较。
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