Experimental and analytical evaluation of available bandwidth estimation tools

Cesar D. Guerrero, Miguel A. Labrador

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

13 Scopus citations

Abstract

In this paper, we present a low cost and flexible testbed to evaluate the performance of available bandwidth estimation tools in a common and controlled environment. In addition, we include a model based on a network of M/M/1 queues to have an analytical reference to compare the experiments with. We then utilize the proposed testbed and model to evaluate the performance of Pathload, IGI, and Spruce, three well-known bandwidth estimation tools. Our main results indicate that Pathload is the most accurate tool but the slowest to converge. IGI, on the other hand, is the fastest tool but the least accurate. Spruce is the least intrusive tool with intermediate accuracy and convergence time.

Original languageEnglish
Title of host publicationProceedings - The 31st IEEE Conference on Local Computer Networks, LCN 2006
Pages710-717
Number of pages8
DOIs
StatePublished - 2006
Externally publishedYes
Event31st Annual IEEE Conference on Local Computer Networks, LCN 2006 - Tampa, FL, United States
Duration: 14 Nov 200616 Nov 2006

Publication series

NameProceedings - Conference on Local Computer Networks, LCN

Conference

Conference31st Annual IEEE Conference on Local Computer Networks, LCN 2006
Country/TerritoryUnited States
CityTampa, FL
Period14/11/0616/11/06

Fingerprint

Dive into the research topics of 'Experimental and analytical evaluation of available bandwidth estimation tools'. Together they form a unique fingerprint.

Cite this