Time based internet traffic policing and shaping with Weibull traffic model / Mohd Azrul Abdullah

Quality of Services for bandwidth management is a crucial task in computer network. Policing and Shaping algorithms are identified as one of the task in bandwidth control, especially in tele-traffic engineering and computer network. This thesis presents the analysis of internet traffic flows in a ca...

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Main Author: Abdullah, Mohd Azrul
Format: Article
Language:English
Published: 2015
Online Access:https://ir.uitm.edu.my/id/eprint/105386/1/105386.pdf
https://ir.uitm.edu.my/id/eprint/105386/
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spelling my.uitm.ir.1053862024-10-23T02:56:59Z https://ir.uitm.edu.my/id/eprint/105386/ Time based internet traffic policing and shaping with Weibull traffic model / Mohd Azrul Abdullah Abdullah, Mohd Azrul Quality of Services for bandwidth management is a crucial task in computer network. Policing and Shaping algorithms are identified as one of the task in bandwidth control, especially in tele-traffic engineering and computer network. This thesis presents the analysis of internet traffic flows in a campus network. Real internet traffic for inbound and outbound throughput flow is collected and statistical analysis is measured to characterize the real live internet traffic parameters. Empirical cumulative distribution function (CDF) model is presented in evaluating the real traffic distribution. Anderson-Darling (AD) and Goodness of Fit test is used to identify the best fitted distribution model to the real data. Four traffic distribution which are normal, lognormal, Weibull and exponential distribution are fitted and derived. Analysis results present Weibull Distribution model is the best fitted model. Two important Weibull parameters which are shape and scale are measured. Based on the identified statistical parameters, a new Time Based Policing and Shaping algorithm is developed and simulated. Policing process drops traffic while shaping process delay traffic to the next time transmissions. Mathematical model to formulate the algorithms is derived. The new algorithms present the existence inbound traffic burst is policed at 1200 Mbyte which is maximum allowable bandwidth while for outbound traffic burst, the policing traffic is policed at 680 Mbyte utilizes the maximum allowable bandwidth. The result of implementing policing and shaping traffic shows the burst can be controlled and thus, reduce the traffic congestion in the network. Furthermore, the drop data from policing traffic process can be saved and transmitted at the next transmission. Besides the method of congestion control, varying the shape parameter of Weibull distribution also help to reduce the burst and improve the performance the internet traffic as a whole. 2015 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/105386/1/105386.pdf Time based internet traffic policing and shaping with Weibull traffic model / Mohd Azrul Abdullah. (2015) pp. 1-13.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
description Quality of Services for bandwidth management is a crucial task in computer network. Policing and Shaping algorithms are identified as one of the task in bandwidth control, especially in tele-traffic engineering and computer network. This thesis presents the analysis of internet traffic flows in a campus network. Real internet traffic for inbound and outbound throughput flow is collected and statistical analysis is measured to characterize the real live internet traffic parameters. Empirical cumulative distribution function (CDF) model is presented in evaluating the real traffic distribution. Anderson-Darling (AD) and Goodness of Fit test is used to identify the best fitted distribution model to the real data. Four traffic distribution which are normal, lognormal, Weibull and exponential distribution are fitted and derived. Analysis results present Weibull Distribution model is the best fitted model. Two important Weibull parameters which are shape and scale are measured. Based on the identified statistical parameters, a new Time Based Policing and Shaping algorithm is developed and simulated. Policing process drops traffic while shaping process delay traffic to the next time transmissions. Mathematical model to formulate the algorithms is derived. The new algorithms present the existence inbound traffic burst is policed at 1200 Mbyte which is maximum allowable bandwidth while for outbound traffic burst, the policing traffic is policed at 680 Mbyte utilizes the maximum allowable bandwidth. The result of implementing policing and shaping traffic shows the burst can be controlled and thus, reduce the traffic congestion in the network. Furthermore, the drop data from policing traffic process can be saved and transmitted at the next transmission. Besides the method of congestion control, varying the shape parameter of Weibull distribution also help to reduce the burst and improve the performance the internet traffic as a whole.
format Article
author Abdullah, Mohd Azrul
spellingShingle Abdullah, Mohd Azrul
Time based internet traffic policing and shaping with Weibull traffic model / Mohd Azrul Abdullah
author_facet Abdullah, Mohd Azrul
author_sort Abdullah, Mohd Azrul
title Time based internet traffic policing and shaping with Weibull traffic model / Mohd Azrul Abdullah
title_short Time based internet traffic policing and shaping with Weibull traffic model / Mohd Azrul Abdullah
title_full Time based internet traffic policing and shaping with Weibull traffic model / Mohd Azrul Abdullah
title_fullStr Time based internet traffic policing and shaping with Weibull traffic model / Mohd Azrul Abdullah
title_full_unstemmed Time based internet traffic policing and shaping with Weibull traffic model / Mohd Azrul Abdullah
title_sort time based internet traffic policing and shaping with weibull traffic model / mohd azrul abdullah
publishDate 2015
url https://ir.uitm.edu.my/id/eprint/105386/1/105386.pdf
https://ir.uitm.edu.my/id/eprint/105386/
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score 13.211869