Overhead in available bandwidth estimation tools: Evaluation and analysis

Dixon Salcedo; Julián Guerrero; Cesar D. Guerrero

Overhead in available bandwidth estimation tools: Evaluation and analysis

Dixon Salcedo
, Julián Guerrero
, Cesar D. Guerrero

Research output: Articles / Notes › Scientific Article › peer-review

8 Scopus citations

Abstract

Current Available Bandwidth Estimation Tools (ABET) insert into the network probing packets to perform a single estimation. The utilization of these packets makes ABET intrusive and prone to errors since they consume part of the available bandwidth they are measuring. This paper presents a comparative of Overhead Estimation Tools (OET) analysis of representative ABET: Abing, Diettopp, Pathload, PathChirp, Traceband, IGI, PTR, Assolo, and Wbest. By using Internet traffic, the study shows that the insertion of probing packets is a factor that affects two metrics associated to the estimation. First, it is shown that the accuracy is affected proportionally to the amount of probing traffic. Secondly, the Estimation Time (ET) is increased in high congested end-to-end links when auto-induced congestion tools are used.

Original language	English
Pages (from-to)	393-404
Number of pages	12
Journal	International Journal of Communication Networks and Information Security
Volume	9
Issue number	3
State	Published - 2017

Keywords

Available bandwidth estimation
Internet measurement tools
Network monitoring
Overhead

Cite this

@article{69444fe91db14a8894495337d4020c67,

title = "Overhead in available bandwidth estimation tools: Evaluation and analysis",

abstract = "Current Available Bandwidth Estimation Tools (ABET) insert into the network probing packets to perform a single estimation. The utilization of these packets makes ABET intrusive and prone to errors since they consume part of the available bandwidth they are measuring. This paper presents a comparative of Overhead Estimation Tools (OET) analysis of representative ABET: Abing, Diettopp, Pathload, PathChirp, Traceband, IGI, PTR, Assolo, and Wbest. By using Internet traffic, the study shows that the insertion of probing packets is a factor that affects two metrics associated to the estimation. First, it is shown that the accuracy is affected proportionally to the amount of probing traffic. Secondly, the Estimation Time (ET) is increased in high congested end-to-end links when auto-induced congestion tools are used.",

keywords = "Available bandwidth estimation, Internet measurement tools, Network monitoring, Overhead",

author = "Dixon Salcedo and Juli{\'a}n Guerrero and Guerrero, \{Cesar D.\}",

year = "2017",

language = "Ingl{\'e}s",

volume = "9",

pages = "393--404",

journal = "International Journal of Communication Networks and Information Security",

issn = "2076-0930",

publisher = "UK Zhende Publishing Limited",

number = "3",

}

TY - JOUR

T1 - Overhead in available bandwidth estimation tools

T2 - Evaluation and analysis

AU - Salcedo, Dixon

AU - Guerrero, Julián

AU - Guerrero, Cesar D.

PY - 2017

Y1 - 2017

N2 - Current Available Bandwidth Estimation Tools (ABET) insert into the network probing packets to perform a single estimation. The utilization of these packets makes ABET intrusive and prone to errors since they consume part of the available bandwidth they are measuring. This paper presents a comparative of Overhead Estimation Tools (OET) analysis of representative ABET: Abing, Diettopp, Pathload, PathChirp, Traceband, IGI, PTR, Assolo, and Wbest. By using Internet traffic, the study shows that the insertion of probing packets is a factor that affects two metrics associated to the estimation. First, it is shown that the accuracy is affected proportionally to the amount of probing traffic. Secondly, the Estimation Time (ET) is increased in high congested end-to-end links when auto-induced congestion tools are used.

AB - Current Available Bandwidth Estimation Tools (ABET) insert into the network probing packets to perform a single estimation. The utilization of these packets makes ABET intrusive and prone to errors since they consume part of the available bandwidth they are measuring. This paper presents a comparative of Overhead Estimation Tools (OET) analysis of representative ABET: Abing, Diettopp, Pathload, PathChirp, Traceband, IGI, PTR, Assolo, and Wbest. By using Internet traffic, the study shows that the insertion of probing packets is a factor that affects two metrics associated to the estimation. First, it is shown that the accuracy is affected proportionally to the amount of probing traffic. Secondly, the Estimation Time (ET) is increased in high congested end-to-end links when auto-induced congestion tools are used.

KW - Available bandwidth estimation

KW - Internet measurement tools

KW - Network monitoring

KW - Overhead

UR - https://www.scopus.com/pages/publications/85038249585

M3 - Artículo Científico

AN - SCOPUS:85038249585

SN - 2076-0930

VL - 9

SP - 393

EP - 404

JO - International Journal of Communication Networks and Information Security

JF - International Journal of Communication Networks and Information Security

IS - 3

ER -

Overhead in available bandwidth estimation tools: Evaluation and analysis

Abstract

Keywords

Other files and links

Fingerprint

Cite this