Multifractal Cross-Traffic Estimation
| dc.citation.bibtexName | inproceedings | en_US |
| dc.citation.conferenceName | ITC Conference on IP Traffic, Modeling and Management | en_US |
| dc.citation.location | Monterey, CA | en_US |
| dc.contributor.author | Ribeiro, Vinay Joseph | en_US |
| dc.contributor.author | Coates, Mark J. | en_US |
| dc.contributor.author | Riedi, Rudolf H. | en_US |
| dc.contributor.author | Sarvotham, Shriram | en_US |
| dc.contributor.author | Hendricks, Brent | en_US |
| dc.contributor.author | Baraniuk, Richard G. | en_US |
| dc.contributor.org | Center for Multimedia Communications (http://cmc.rice.edu/) | en_US |
| dc.date.accessioned | 2007-10-31T01:00:17Z | en_US |
| dc.date.available | 2007-10-31T01:00:17Z | en_US |
| dc.date.issued | 2000-09-01 | en_US |
| dc.date.modified | 2006-06-05 | en_US |
| dc.date.note | 2001-09-04 | en_US |
| dc.date.submitted | 2000-09-01 | en_US |
| dc.description | Conference Paper | en_US |
| dc.description.abstract | In this paper we develop a novel model-based technique, the Delphi algorithm, for inferring the instantaneous volume of competing cross-traffic across an end-to-end path. By using only end-to-end measurements, Delphi avoids the need for data collection within the Internet. Unique to the algorithm is an efficient exponentially spaced probing packet train and a parsimonious multifractal parametric model for the cross-traffic that captures its multiscale statistical properties (including long-range dependence) and queuing behavior. The algorithm is adaptive; it requires no a priori traffic statistics and effectively tracks changes in network conditions. NS (network simulator) experiments reveal that Delphi gives accurate ross-traffic estimates for higher link utilization levels while at lower utilizations it over-estimates the cross-traffic. Also, when Delphi's single bottleneck assumption does not hold it over-estimates the cross-traffic. | en_US |
| dc.description.sponsorship | Defense Advanced Research Projects Agency | en_US |
| dc.description.sponsorship | Office of Naval Research | en_US |
| dc.description.sponsorship | National Science Foundation | en_US |
| dc.identifier.citation | V. J. Ribeiro, M. J. Coates, R. H. Riedi, S. Sarvotham, B. Hendricks and R. G. Baraniuk, "Multifractal Cross-Traffic Estimation," 2000. | en_US |
| dc.identifier.uri | https://hdl.handle.net/1911/20249 | en_US |
| dc.language.iso | eng | en_US |
| dc.subject | Delphi algorithm | en_US |
| dc.subject | network simulator (NS) | en_US |
| dc.subject | cross-traffic | en_US |
| dc.subject | multifractal | en_US |
| dc.subject | estimation | en_US |
| dc.subject.keyword | Delphi algorithm | en_US |
| dc.subject.keyword | network simulator (NS) | en_US |
| dc.subject.keyword | cross-traffic | en_US |
| dc.subject.keyword | multifractal | en_US |
| dc.subject.keyword | estimation | en_US |
| dc.subject.other | Multifractals | en_US |
| dc.title | Multifractal Cross-Traffic Estimation | en_US |
| dc.type | Conference paper | en_US |
| dc.type.dcmi | Text | en_US |