Small-time scaling behaviors of Internet backbone traffic: An empirical study
| dc.citation.bibtexName | inproceedings | en_US |
| dc.citation.conferenceName | IEEE INFOCOM | en_US |
| dc.contributor.author | Zhang, Zhi-Li | en_US |
| dc.contributor.author | Ribeiro, Vinay Joseph | en_US |
| dc.contributor.author | Moon, Sue | en_US |
| dc.contributor.author | Diot, Christophe | en_US |
| dc.contributor.org | Center for Multimedia Communications (http://cmc.rice.edu/) | en_US |
| dc.contributor.org | Digital Signal Processing (http://dsp.rice.edu/) | en_US |
| dc.date.accessioned | 2007-10-31T01:10:16Z | |
| dc.date.available | 2007-10-31T01:10:16Z | |
| dc.date.issued | 2003-04-20 | en |
| dc.date.modified | 2003-05-12 | en_US |
| dc.date.note | 2003-05-12 | en_US |
| dc.date.submitted | 2003-04-20 | en_US |
| dc.description | Conference Paper | en_US |
| dc.description.abstract | We study the small-time (sub-seconds) scaling behaviors of Internet backbone traffic, based on traces collected from OC3/12/48 links in a tier-1 ISP. We observe that for a majority of these traces, the (second-order) scaling exponents at small time scales (1ms - 100ms) are fairly close to 0.5, indicating that <i>traffic fluctuations</i> at these time scales are (nearly) uncorrelated. In addition, the traces manifest mostly <i>monofractal</i> behaviors at small time scales. The objective of the paper is to understand the potential causes or factors that influence the small-time scalings of Internet backbone traffic via empirical data analysis. We analyze the traffic composition of the traces along two dimensions รข flow size and flow <i>density</i>. Our study uncovers <i>dense</i> flows (i.e., flows with bursts of densely clustered packets) as the correlation-causing factor in small time scales, and reveals that the traffic composition in terms of proportions of <i>dense vs. sparse</i> flows plays a major role in influecing the small-time scalings of aggregate traffic. | en_US |
| dc.identifier.citation | Z. Zhang, V. J. Ribeiro, S. Moon and C. Diot, "Small-time scaling behaviors of Internet backbone traffic: An empirical study," 2003. | |
| dc.identifier.doi | http://dx.doi.org/10.1109/INFCOM.2003.1209205 | en_US |
| dc.identifier.uri | https://hdl.handle.net/1911/20458 | |
| dc.language.iso | eng | |
| dc.subject | networks | * |
| dc.subject | Internet | * |
| dc.subject | scaling | * |
| dc.subject | long-range-dependence | * |
| dc.subject | self-similarity | * |
| dc.subject | backbone | * |
| dc.subject | traffic | * |
| dc.subject.keyword | networks | en_US |
| dc.subject.keyword | Internet | en_US |
| dc.subject.keyword | scaling | en_US |
| dc.subject.keyword | long-range-dependence | en_US |
| dc.subject.keyword | self-similarity | en_US |
| dc.subject.keyword | backbone | en_US |
| dc.subject.keyword | traffic | en_US |
| dc.subject.other | Multiscale Methods | en_US |
| dc.subject.other | Signal Processing for Networking | en_US |
| dc.title | Small-time scaling behaviors of Internet backbone traffic: An empirical study | en_US |
| dc.type | Conference paper | |
| dc.type.dcmi | Text |
Files
Original bundle
1 - 1 of 1