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An Internet Protocol Address Clustering Algorithm

10 years 2 months ago
An Internet Protocol Address Clustering Algorithm
We pose partitioning a b-bit Internet Protocol (IP) address space as a supervised learning task. Given (IP, property) labeled training data, we develop an IP-specific clustering algorithm that provides accurate predictions for unknown addresses in O(b) run time. Our method offers a natural means to penalize model complexity, limit memory consumption, and is amenable to a non-stationary environment. Against a live Internet latency data set, the algorithm outperforms IP-na?ive learning methods and is fast in practice. Finally, we show the model's ability to detect structural and temporal changes, a crucial step in learning amid Internet dynamics.
Robert Beverly, Karen R. Sollins
Added 03 Dec 2009
Updated 03 Dec 2009
Type Conference
Year 2008
Where OSDI
Authors Robert Beverly, Karen R. Sollins
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