Effect of the traffic bursts in the network queue

Files in this item

Files Size Format View
1419096.PDF 2.299Mb application/pdf Thumbnail

Show full item record

Item Metadata

Title: Effect of the traffic bursts in the network queue
Author: KeshavarzHaddad, Alireza
Advisor: Riedi, Rudolf H.
Degree: Master of Science thesis
Abstract: This thesis studies the effect of the traffic bursts in the queue. Knowledge of the queueing behavior provides opportunity for additional control and improved performance. Most existing work on queueing today is based on Long-Range-Dependence (LRD) and Self-similarity, two well-known properties of network traffic at large scales. However, network traffic shows bursty behavior on small scales which are not captured by traditional self-similar models. We leverage a decomposition of traffic into two components. The alpha component is the bursty part of the traffic consisting of only few high bandwidth connections. The beta component collects the residual traffic and is a Gaussian LRD process. The alpha component is highly non-Gaussian and bursty. We propose two models for the alpha component, a heavy-tailed self-similar process and a high rate ON/OFF source. Our results explain how size and type of bursts affect the queueing behavior.
Citation: KeshavarzHaddad, Alireza. (2004) "Effect of the traffic bursts in the network queue." Masters Thesis, Rice University.
Date: 2004

This item appears in the following Collection(s)