Towards stochastic flow-level network modeling: Performance evaluation of short TCP flows

Fabien Geyer, Stefan Schneele, Georg Carle

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

We present in this paper a stochastic flow-level network model for the performance evaluation of IP networks with multiple bottlenecks supporting short-lived and long-lived TCP flows. Flow-level network models are efficient at estimating the mean bandwidth of TCP flows in various topologies, but they are generally limited to the study of infinite flows. This paper extends such models in order to evaluate short-lived flows alternating between idle and active periods where data of random size is transferred. We study the interaction between multiple flows and derive mean bandwidths, durations of file transfer or average number of active flows. We first study a single bottleneck, and then extend our analysis to networks with multiple bottlenecks as well as the effect of slow-start. We apply our results to various networks and assess the accuracy of our approach by comparing our analytical results with results of the discrete event simulator ns-2.

Original languageEnglish
Title of host publicationProceedings - Conference on Local Computer Networks, LCN
EditorsNils Aschenbruck, Salil Kanhere, Kemal Akkaya, Kemal Akkaya
PublisherIEEE Computer Society
Pages462-465
Number of pages4
ISBN (Electronic)9781479937806
DOIs
StatePublished - 15 Oct 2014
Event39th Annual IEEE Conference on Local Computer Networks, LCN 2014 - Edmonton, Canada
Duration: 8 Sep 201411 Sep 2014

Publication series

NameProceedings - Conference on Local Computer Networks, LCN

Conference

Conference39th Annual IEEE Conference on Local Computer Networks, LCN 2014
Country/TerritoryCanada
CityEdmonton
Period8/09/1411/09/14

Keywords

  • Performance evaluation
  • Quality of Service
  • TCP

Fingerprint

Dive into the research topics of 'Towards stochastic flow-level network modeling: Performance evaluation of short TCP flows'. Together they form a unique fingerprint.

Cite this