On network traffic concentration and updating interval for proactive recovery method against large-scale network failures

Takuro Horie, G. Hasegawa, S. Kamei, M. Murata
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引用次数: 2

Abstract

Proactive recovery methods from network failures, based on multiple routing configurations, are effective for quick failure recovery, as compared with reactive recovery methods. However, there are two major problems, especially when we consider recovering from large-scale network failures: updating interval for recalculation of routing configurations against network growth, and network traffic concentration on specific nodes and links after recovering failures. In this paper, we first propose a light-weight and distributed algorithm for updating routing configurations when new nodes and links join the network, which does not need overall recalculation. We then evaluate the proactive recovery method for large-scale network failures, with proposed algorithm from the viewpoint of above two problems. Through numerical evaluation results, we find that to maintain the recovery performance, we should recalculate the routing configurations when the network grows by roughly 5–10%. We also present that the degree of network traffic concentration decreases when we employ a hop-by-hop selection mechanism of routing configuration.
大规模网络故障主动恢复方法的网络流量集中与更新间隔研究
与被动恢复方法相比,基于多种路由配置的网络故障主动恢复方法可以快速恢复故障。然而,有两个主要问题,特别是当我们考虑从大规模网络故障中恢复时:根据网络增长重新计算路由配置的更新间隔,以及恢复故障后特定节点和链路上的网络流量集中。在本文中,我们首先提出了一种轻量级的分布式算法,用于在新的节点和链路加入网络时更新路由配置,而不需要重新计算全局。然后从上述两个问题出发,利用所提出的算法对大规模网络故障的主动恢复方法进行了评价。通过数值评估结果,我们发现为了保持恢复性能,当网络大约增长5-10%时,需要重新计算路由配置。采用逐跳路由选择机制时,网络流量集中程度降低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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