Characterization and control of highly correlated traffic in high speed networks

Ying-Dar Lin*, Tian Ren Huang, Yuan Cheng Lai

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations


By assuming network traffic to be independent from each other, the analysis of network performance can be simplified. However, the real traffic sources may have some correlation which makes their behavior tends to converge or diverge. This phenomenon has tremendous influence on the congestion control. In this paper, we explain the possible reasons of the correlated behavior, namely, top-down and client-server correlation, and analyze their impacts. We also use the rapid matrix-geometric solution to investigate the cost to pay when applying the Leaky Bucket input control scheme on the independent, such as Poisson, traffic sources and the correlated, such as ON-OFF and HAP (Hierarchical Arrival Process), traffic sources.

Original languageEnglish
Article number558127
Pages (from-to)19-27
Number of pages9
JournalConference on Local Computer Networks
StatePublished - 13 Oct 1996
EventProceedings of the 1996 21st Conference on Local Computer Networks - Minneapolis, MN, USA
Duration: 13 Oct 199616 Oct 1996


Dive into the research topics of 'Characterization and control of highly correlated traffic in high speed networks'. Together they form a unique fingerprint.

Cite this