Long-Range Dependence of Internet Traffic Aggregates

Solange Lima, Magda Silva, Paulo Carvalho, Alexandre Santos and Vasco Freitas

Universidade do Minho
Departamento de Informática
P-4710-057 Braga, Portugal

Tel.: +351 253 604470
Fax.: +351 253 604471
E-mail: {solange,paulo,alex,vf} (at) uminho.pt


This paper studies and discusses the presence of LRD in network traffic after classifying flows into traffic aggregates. Following DiffServ architecture principles, generic QoS application requirements and the transport protocol in use, a classification criterion of Internet traffic is established. Using fractal theory, the resulting traffic classes are analysed. The Hurst parameter is estimated and used as a measure of traffic burstiness and LRD in each traffic class. The traffic volume per class and per interface is also measured. The study uses real traffic traces collected at a University of Minho major backbone router in different periods of network activity.

Second International IFIP-TC6 Networking Conference, Pisa, Italy, May 19-24, 2002
LNCS, vol 2345, pp. 1159-1164, Springer-Verlag, 2002