Experimental analysis on passive bandwidth estimation tools for iperf, netperf and spruce for mesh wireless local area network (WLAN)

Available bandwidth estimation is useful for route selection in a network environment. While many tools has been created to estimate the available bandwidth, mainly by two techniques passive and active measurement. Passive measurement is performed by observing the traffic without intruding the netwo...

Full description

Bibliographic Details
Main Author: Nurul Izwani, Norhan
Format: Undergraduates Project Papers
Language:English
Published: 2014
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/9198/1/CD8580%20%40%2060.pdf
_version_ 1825822236601221120
author Nurul Izwani, Norhan
author_facet Nurul Izwani, Norhan
author_sort Nurul Izwani, Norhan
collection UMP
description Available bandwidth estimation is useful for route selection in a network environment. While many tools has been created to estimate the available bandwidth, mainly by two techniques passive and active measurement. Passive measurement is performed by observing the traffic without intruding the network. Active measurement on the other hand, will probe the network by generating packet traffic into the network to perform the measurement with the availability of multiple available bandwidth estimation tools around, the question is which bandwidth estimation tool will be the best to perform the task in a given network situation? Which tools perform the best when fluctuation of bandwidth happens in a network? Accurate estimating available bandwidths in a network path are important for the right and efficient operation of many Internet applications and protocols as well as network management applications. End-to-end flow control, server selection for downloads and streaming media, peer-to-peer web host selection and content delivery, and multicast configuration protocols are just a few examples where accurate bandwidth estimations are valuable. This research will represent an experimental analysis of available bandwidth by using a few bandwidth estimation tools which are Iperf, Netperf, Spruce. The objective of the research is to measure available bandwidth with selected bandwidth estimation tools, compare the selected tools based on their estimation preference and to recommend the best bandwidth estimation tools in the three factors which are the failure pattern, accuracy and consistency of the tools.
first_indexed 2024-03-06T11:53:34Z
format Undergraduates Project Papers
id UMPir9198
institution Universiti Malaysia Pahang
language English
last_indexed 2024-03-06T11:53:34Z
publishDate 2014
record_format dspace
spelling UMPir91982021-08-03T03:52:56Z http://umpir.ump.edu.my/id/eprint/9198/ Experimental analysis on passive bandwidth estimation tools for iperf, netperf and spruce for mesh wireless local area network (WLAN) Nurul Izwani, Norhan QA Mathematics QA76 Computer software Available bandwidth estimation is useful for route selection in a network environment. While many tools has been created to estimate the available bandwidth, mainly by two techniques passive and active measurement. Passive measurement is performed by observing the traffic without intruding the network. Active measurement on the other hand, will probe the network by generating packet traffic into the network to perform the measurement with the availability of multiple available bandwidth estimation tools around, the question is which bandwidth estimation tool will be the best to perform the task in a given network situation? Which tools perform the best when fluctuation of bandwidth happens in a network? Accurate estimating available bandwidths in a network path are important for the right and efficient operation of many Internet applications and protocols as well as network management applications. End-to-end flow control, server selection for downloads and streaming media, peer-to-peer web host selection and content delivery, and multicast configuration protocols are just a few examples where accurate bandwidth estimations are valuable. This research will represent an experimental analysis of available bandwidth by using a few bandwidth estimation tools which are Iperf, Netperf, Spruce. The objective of the research is to measure available bandwidth with selected bandwidth estimation tools, compare the selected tools based on their estimation preference and to recommend the best bandwidth estimation tools in the three factors which are the failure pattern, accuracy and consistency of the tools. 2014 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/9198/1/CD8580%20%40%2060.pdf Nurul Izwani, Norhan (2014) Experimental analysis on passive bandwidth estimation tools for iperf, netperf and spruce for mesh wireless local area network (WLAN). Faculty Of Computer System And Software Engineering, Universiti Malaysia Pahang.
spellingShingle QA Mathematics
QA76 Computer software
Nurul Izwani, Norhan
Experimental analysis on passive bandwidth estimation tools for iperf, netperf and spruce for mesh wireless local area network (WLAN)
title Experimental analysis on passive bandwidth estimation tools for iperf, netperf and spruce for mesh wireless local area network (WLAN)
title_full Experimental analysis on passive bandwidth estimation tools for iperf, netperf and spruce for mesh wireless local area network (WLAN)
title_fullStr Experimental analysis on passive bandwidth estimation tools for iperf, netperf and spruce for mesh wireless local area network (WLAN)
title_full_unstemmed Experimental analysis on passive bandwidth estimation tools for iperf, netperf and spruce for mesh wireless local area network (WLAN)
title_short Experimental analysis on passive bandwidth estimation tools for iperf, netperf and spruce for mesh wireless local area network (WLAN)
title_sort experimental analysis on passive bandwidth estimation tools for iperf netperf and spruce for mesh wireless local area network wlan
topic QA Mathematics
QA76 Computer software
url http://umpir.ump.edu.my/id/eprint/9198/1/CD8580%20%40%2060.pdf
work_keys_str_mv AT nurulizwaninorhan experimentalanalysisonpassivebandwidthestimationtoolsforiperfnetperfandspruceformeshwirelesslocalareanetworkwlan