Abstract
In this paper we analyze measurements from the Finnish University Network (Funet) and study the effect of spatial aggregation on the origin-destination flows. The traffic is divided into OD pairs based on IP addresses, using different prefix lengths to obtain data sets with various aggregation levels. We find that typically the diurnal pattern of the total traffic is followed more closely by the OD pairs as their volume increases, but there are many exceptions. Gaussian assumption holds well for all OD pairs when the aggregation level is high enough, and we find an approximate threshold for OD pair traffic volume after which they tend to be Gaussian. Also the functional mean-variance relation holds better when the aggregation level is higher.
Original language | English |
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Title of host publication | Next generation teletraffic and wired/wireless advanced networking |
Subtitle of host publication | 7th International Conference, NEW2AN 2007 St. Petersburg, Russia, September 10-14, 2007 proceedings |
Editors | Yevgeni Koucheryavy, Jarmo Harju, Alexander Sayenko |
Publisher | SPRINGER |
Pages | 1-12 |
Number of pages | 12 |
ISBN (Electronic) | 978-3-540-74833-5 |
ISBN (Print) | 3540748326, 9783540748328 |
DOIs | |
Publication status | Published - 2007 |
MoE publication type | A4 Article in a conference publication |
Event | International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networking - St. Petersburg, Russian Federation Duration: 10 Sep 2007 → 14 Sep 2007 Conference number: 7 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 4712 LNCS |
ISSN (Print) | 03029743 |
ISSN (Electronic) | 16113349 |
Conference
Conference | International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networking |
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Abbreviated title | NEW2AN |
Country/Territory | Russian Federation |
City | St. Petersburg |
Period | 10/09/2007 → 14/09/2007 |
Keywords
- Gaussianity
- Mean-variance relation
- Measurements
- Traffic characterization