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Identification of Heavyweight Address Prefix Pairs in IP Traffic

机译:IP流量中重量级地址前缀对的识别

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We develop in this paper a new algorithm for identifying those pairs of source and destination prefixes giving rise to a significant amount of global traffic, referred to as multi-dimensional Hierarchical Heavy Hitters (mHHH). We represent the source and destination address pairs by weighted circuits in a graph so that the prefix pairs are considered as groups of circuits in the graph. Identifying mHHH pairs then consists in finding clusters of circuits that have a cumulative weight greater than an user specified threshold. Starting from this model, we propose an off-line algorithm to exhaustively find mHHH pairs. On the basis of this exhaustive algorithm, we introduce an efficient online algorithm that identifies mHHH pairs in real time with provable accuracy and memory guarantees. Experimental results with real traffic data from France Telecom networks illustrate the efficiency of the algorithm.
机译:我们在本文中开发了一种新的算法,用于识别这些源头和目的地前缀的新算法,从而提高了大量全球流量,称为多维等级重型击球手(MHHH)。我们在图表中由加权电路代表源和目的地地址对,以便前缀对被视为图中的电路组。识别MHHH对然后在找到具有大于用户指定阈值的累积重量的电路集群。从这个模型开始,我们提出了一种离线算法来彻底找到MHHH对。在这种详尽的算法的基础上,我们介绍了一种高效的在线算法,该算法实时识别MHHH对,具有可提供的精度和内存保证。来自法国电信网络的实验结果,从法国电信网络说明了算法的效率。

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