Probabilistic Analysis on Mesh Network Fault Tolerance: Deterministic vs. Stochastic

Gaocai Wang, Taoshen Li, Jianer Chen
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引用次数: 2

Abstract

In this paper, following our recent developed concept of subnet model in mesh networks, we continue to investigate the characterizations of probabilistic fault tolerance for the mesh networks with faulty node. We consider two fault models: each node has deterministic or stochastic failure probability, then we study the fault tolerance of mesh networks based on our novel technique - subnet model. We derive lower bounds on the connectivity probability for mesh networks. Our study shows that mesh networks of practical size can tolerate a large number of faulty nodes thus are reliable enough for multicomputer systems under deterministic or stochastic node failure probability. Comparing with deterministic node failure probability, stochastic model is close to realistic case.
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网格网络容错的概率分析:确定性与随机
在本文中,我们根据最近提出的网状网络中的子网模型概念,继续研究具有故障节点的网状网络的概率容错特性。我们考虑了两种故障模型:每个节点具有确定性和随机故障概率,然后基于我们的新技术——子网模型研究了网状网络的容错问题。我们推导了网状网络连通概率的下界。我们的研究表明,实际规模的网状网络可以容忍大量的故障节点,因此在确定或随机节点故障概率下的多计算机系统足够可靠。与确定性节点失效概率相比,随机模型更接近实际情况。
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