Pregled bibliografske jedinice broj: 206739
Statistical properties of PMA traffic traces and their application to capacity sizing
Statistical properties of PMA traffic traces and their application to capacity sizing // Proceedings of IIS 2005, 16th International Conference on Information and Intelligent Systems / Aurer, Boris (ur.).
Varaždin: Fakultet organizacije i informatike Sveučilišta u Zagrebu, 2005. str. 431-438 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Statistical properties of PMA traffic traces and their application to capacity sizing
Autori
Vrdoljak, Zdenko ; Ljolje, Marije
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of IIS 2005, 16th International Conference on Information and Intelligent Systems
/ Aurer, Boris - Varaždin : Fakultet organizacije i informatike Sveučilišta u Zagrebu, 2005, 431-438
Skup
Information and Intelligent Systems
Mjesto i datum
Varaždin, Hrvatska, 21.09.2005. - 23.09.2005
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Statistical; properties; traffic; PMA
Sažetak
In this paper we describe statistical properties of a real network traffic data set and the capacity calculation formula based on these properties. These are results from the joint project of the FER, University of Zagreb and Ericsson Nikola Tesla, Zagreb, with the aim to analyze statistical properties of publicly available IP traffic traces and study the influence of these properties to traffic sizing procedure. The analysis is based on the network traces database provided by the Passive Measurement and Analysis (PMA) project of the National Laboratory for Applied Network Research (NLANR) of USA. We describe traffic rate distribution fitting procedure. The distribution can be closely described by the sub-exponential distributions and that the time-dependence is strong. The most important result is that the packet delays observed on different nodes in the network belonging to the same traffic flow can be analyzed as (highly) independent random variables. This is especially true when the capacity of the links in the network are chosen in such a manner that a maximum of 1% of all packets have a delay higher than 10 ms. We describe a fully empiric capacity calculation formula that can be applied to all links in the network knowing the traffic matrix. The formula is based on the statistical properties established before. The formula takes into account only the mean value of the traffic rate which makes it very simple to use.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
