Abstract | ||
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Practical shared bottleneck detection has proved to be a difficult problem. We present a novel passive approach using efficient estimates of time and frequency domain summary statistics. The approach is not CPU nor network intensive, and has numerous potential applications in the Internet. Simulations and tests over the Internet and 3G cellular network show its efficacy in grouping flows correctly. |
Year | DOI | Venue |
---|---|---|
2014 | 10.1109/LCN.2014.6925767 | Local Computer Networks |
Keywords | Field | DocType |
3G mobile communication,Internet,frequency-domain analysis,statistics,time-domain analysis,3G cellular network,Internet,frequency domain summary statistics,passive shared bottleneck detection,practical shared bottleneck detection,shape summary statistics,time domain summary statistics,Shared bottleneck detection | Frequency domain,Bottleneck,Computer science,Computer network,Cellular network,Summary statistics,The Internet,Distributed computing | Conference |
ISSN | ISBN | Citations |
0742-1303 | 978-1-4799-3778-3 | 6 |
PageRank | References | Authors |
0.52 | 19 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
David A. Hayes | 1 | 65 | 7.54 |
Simone Ferlin | 2 | 81 | 8.36 |
Michael Welzl | 3 | 16 | 3.42 |