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020 _aTHE0001828(Local)
039 9 _a201905131426
_byusri
_c201502031231
_dariffin
_c201502031225
_dariffin
_y201502031221
_zariffin
040 _aUMP
090 _aQA76.76.D47 I99 2014 r Bc.
100 0 _aNurul Izwani Norhan
245 1 0 _aExperimental analysis on passive bandwidth estimation tools for iperf, netperf and spruce for mesh wireless local area network (WLAN) /
_cNurul Izwani Norhan
260 _aKuantan, Pahang :
_bUMP,
_c2014
300 _aviii, 60 p. :
_bill. (some col.) ;
_c30 cm.
500 _aFaculty of Computer System and Software Engineering
502 _aProject paper (Bachelor of Computer Science ( Computer Systems and Networking)) -- Universiti Malaysia Pahang - 2014
504 _aBibliography : p. 54
520 3 _aAvailable 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.
650 0 _aComputer software
_xDevelopment
650 0 _aApplication software
_xDevelopment
999 _aVIRTUA40
_c5832
_d5838
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