Identifying Bottleneck Nodes using Packet Delay Statistics

Joshua Marker, J. Shea, T. Wong, Eric Graves, Paul L. Yu
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Abstract

An algorithm to identify the bottleneck nodes linking two component networks in a simple network of networks (NoN) configuration is proposed. The proposed bottleneck identification algorithm is based on applying a support vector machine on clustered packet delay measurements. This algorithm has the advantage that it requires almost no information about the topology of the underlying NoN. Simulation results show that this algorithm can provide very good detection performance when the component networks of the NoN are not too small in size, or when the connectivity between nodes within the component networks is not too sparse.
利用包延迟统计信息识别瓶颈节点
提出了一种简单网络结构中连接两组份网络的瓶颈节点识别算法。提出了一种基于支持向量机的瓶颈识别算法。该算法的优点是它几乎不需要底层NoN的拓扑信息。仿真结果表明,当NoN的组成网络的规模不太小或组成网络内节点之间的连通性不太稀疏时,该算法可以提供非常好的检测性能。
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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