Adaptive policing and shaping algorithms on inbound traffic using generalized Pareto distribution / Nor Azura Ayop

This paper present an analysis of inbound internet traffic and development of Adaptive Policing and Shaping Algorithms on inbound internet traffic and fitted to traffic model. Network "bursting" is a normal event in internet traffic engineering, but the bustiness of throughput data will vi...

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Main Author:	Ayop, Nor Azura
Format:	Thesis
Language:	English
Published:	2016
Subjects:	Telecommunication
Online Access:	https://ir.uitm.edu.my/id/eprint/80926/1/80926.pdf
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id	my-uitm-ir.80926
record_format	uketd_dc
spelling	my-uitm-ir.809262024-07-28T07:26:55Z Adaptive policing and shaping algorithms on inbound traffic using generalized Pareto distribution / Nor Azura Ayop 2016 Ayop, Nor Azura Telecommunication This paper present an analysis of inbound internet traffic and development of Adaptive Policing and Shaping Algorithms on inbound internet traffic and fitted to traffic model. Network "bursting" is a normal event in internet traffic engineering, but the bustiness of throughput data will violent the committed rate that provided by ISP. The objective of this research is to characterize inbound internet traffic collected on real live IP-based campus network, to develop Adaptive Policing and Shaping Algorithms with percentage level on Inbound Traffic based on traffic characterization and to compare the policing and shaping performance on bandwidth used, processing time and packet loss. Then, traffic is fitted to best traffic model and percentage level Policing and Shaping algorithm is developed to control the bandwidth used. The research scope is based on collected of internet traffic on IP-based network real live traffic at 16 Mbps speed line. By using MATLAB software, the Open Distribution Fitting application is fitted to the collected data to identifying the best distribution and the results presents GPD shows the highest value for best fitted traffic model. Log likelihood estimation technique is used to fit the best 2-parameter CDF compared to Weibull, Normal and Rician distribution model. The percentage level 5% under original bandwidth used is developed on policing and shaping algorithms to control bandwidth used. Result present performances upgraded around 3% of time processing and approximately 73% of bandwidth saved. This result help to expand the view of new idea in modelling the tele-traffic algorithm based on bandwidth management and time processing improvement. The most important matter is the understanding about the internet traffic's flow and characteristic. 2016 Thesis https://ir.uitm.edu.my/id/eprint/80926/ https://ir.uitm.edu.my/id/eprint/80926/1/80926.pdf text en public masters Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Kassim, Murizah
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Kassim, Murizah
topic	Telecommunication
spellingShingle	Telecommunication Ayop, Nor Azura Adaptive policing and shaping algorithms on inbound traffic using generalized Pareto distribution / Nor Azura Ayop
description	This paper present an analysis of inbound internet traffic and development of Adaptive Policing and Shaping Algorithms on inbound internet traffic and fitted to traffic model. Network "bursting" is a normal event in internet traffic engineering, but the bustiness of throughput data will violent the committed rate that provided by ISP. The objective of this research is to characterize inbound internet traffic collected on real live IP-based campus network, to develop Adaptive Policing and Shaping Algorithms with percentage level on Inbound Traffic based on traffic characterization and to compare the policing and shaping performance on bandwidth used, processing time and packet loss. Then, traffic is fitted to best traffic model and percentage level Policing and Shaping algorithm is developed to control the bandwidth used. The research scope is based on collected of internet traffic on IP-based network real live traffic at 16 Mbps speed line. By using MATLAB software, the Open Distribution Fitting application is fitted to the collected data to identifying the best distribution and the results presents GPD shows the highest value for best fitted traffic model. Log likelihood estimation technique is used to fit the best 2-parameter CDF compared to Weibull, Normal and Rician distribution model. The percentage level 5% under original bandwidth used is developed on policing and shaping algorithms to control bandwidth used. Result present performances upgraded around 3% of time processing and approximately 73% of bandwidth saved. This result help to expand the view of new idea in modelling the tele-traffic algorithm based on bandwidth management and time processing improvement. The most important matter is the understanding about the internet traffic's flow and characteristic.
format	Thesis
qualification_level	Master's degree
author	Ayop, Nor Azura
author_facet	Ayop, Nor Azura
author_sort	Ayop, Nor Azura
title	Adaptive policing and shaping algorithms on inbound traffic using generalized Pareto distribution / Nor Azura Ayop
title_short	Adaptive policing and shaping algorithms on inbound traffic using generalized Pareto distribution / Nor Azura Ayop
title_full	Adaptive policing and shaping algorithms on inbound traffic using generalized Pareto distribution / Nor Azura Ayop
title_fullStr	Adaptive policing and shaping algorithms on inbound traffic using generalized Pareto distribution / Nor Azura Ayop
title_full_unstemmed	Adaptive policing and shaping algorithms on inbound traffic using generalized Pareto distribution / Nor Azura Ayop
title_sort	adaptive policing and shaping algorithms on inbound traffic using generalized pareto distribution / nor azura ayop
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2016
url	https://ir.uitm.edu.my/id/eprint/80926/1/80926.pdf
_version_	1811768685801504768

Adaptive policing and shaping algorithms on inbound traffic using generalized Pareto distribution / Nor Azura Ayop

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