Yin Zhang, Sumeet Singh, Subhabrata Sen, Nick Duffield, Carsten Lund  Home/Search
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Abstract: In traffic monitoring, accounting, and network anomaly detection, it is often important to be able to detect high-volume traffic clusters in near real-time. Such heavy-hitter traffic clusters are often hierarchical (i.e., they may occur at different aggregation levels like ranges of IP addresses) and possibly multidimensional (i.e., they may involve the combination of different IP header fields like IP addresses, port numbers, and protocol). Without prior knowledge about the precise structures ... (Update)
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BibTeX entry: (Update)
@misc{ zhang-online,
author = "Yin Zhang and Sumeet Singh and Subhabrata Sen and Nick Duffield and Carsten
Lund",
title = "Online Identification of Hierarchical Heavy Hitters: Algorithms, Evaluation,
and Applications",
url = "citeseer.ist.psu.edu/737488.html" }
Citations (may not include all citations):83 New directions in trafficmeasurement and accounting - Estan, Varghese - 2002
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6 Forecasting time series with outliers (context) - Chen, Liu - 1993
5 Improved data stream summaries: The count-min sketch and its.. (context) - Cormode, Muthukrishnan - 2004
4 Predicting resource usage and estimation accuracy in an IP f.. - Duffieldand, Lund - 2003
4 Packet classification using multidimensional cutting - Singh, Baboescu et al. - 2003
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1 Packet classificationfor core routers: Is there an alternati.. (context) - Baboescu, Singh et al. - 2003
1 Packet classificationon multiple fields (context) - Gupta, McKeown - 1999
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