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Identification of heavyweight address prefix pairs in IP traffic

机译:识别IP流量中的重量级地址前缀对

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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 multidimensional 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算法,用于识别那些引起大量全球流量的源和目的地前缀对,称为多维分层沉重打击者(mHHH)。我们通过图中的加权电路表示源地址和目标地址对,以便将前缀对视为图中的电路组。然后,识别mHHH对包括查找累积权重大于用户指定阈值的电路簇。从该模型开始,我们提出了一种离线算法来详尽地找到mHHH对。在此详尽的算法的基础上,我们引入了一种有效的在线算法,该算法可实时验证mHHH对,并具有可证明的准确性和内存保证。来自法国电信网络的真实交通数据的实验结果说明了该算法的效率。

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