Bandwidth Performance Analysis and Shaping Algorithm on Metro-E Campus Network

This paper presents the analysis of the traffic of Metro Ethernet (Metro-E) Network (MEN) in the campus network. MEN's technology has given financial manageability to all clients and the expense of utilizing this service has increased from time to time but lacks Quality of Service (QoS) on the...

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Published in:Colloquium in Information Science and Technology, CIST
Main Author: Shamsuddin A.D.S.; Kassim M.; Abdullah N.P.
Format: Conference paper
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2023
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185403318&doi=10.1109%2fCiSt56084.2023.10409961&partnerID=40&md5=7461082caf11f921d4659e6d79868a1f
id 2-s2.0-85185403318
spelling 2-s2.0-85185403318
Shamsuddin A.D.S.; Kassim M.; Abdullah N.P.
Bandwidth Performance Analysis and Shaping Algorithm on Metro-E Campus Network
2023
Colloquium in Information Science and Technology, CIST


10.1109/CiSt56084.2023.10409961
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185403318&doi=10.1109%2fCiSt56084.2023.10409961&partnerID=40&md5=7461082caf11f921d4659e6d79868a1f
This paper presents the analysis of the traffic of Metro Ethernet (Metro-E) Network (MEN) in the campus network. MEN's technology has given financial manageability to all clients and the expense of utilizing this service has increased from time to time but lacks Quality of Service (QoS) on the accessibility of the clients. This research aims to analyze five (5) campus bandwidth performances on the Metro-E network. Distribution modeling was analyzed based on the data captured and policing algorithm was deployed to identify QoS performance. Data on Campus Network bandwidth traffic was collected using Metro E monitoring tools on the CACTI domain then data are fitted to the best distribution models. Five best-fitted distributions are identified based on maximum likelihood estimator (MLE) value. Next, a shaping algorithm is designed to control the bandwidth used based on a 10% upper bandwidth and fixed threshold. The result presents that the five best traffic distributions are identified which are normal, stable, exponential, logistic, and lastly T-Location Scale. Among the 5 distributions model, it is identified that 'Stable Fits' for Campus A presents the best MLE value of -121642.QoS using a shaping algorithm has been successfully done where 10% upper bandwidth has been derived from the collected traffic data. This research is significant for QoS on bandwidth management on Metro Ethernet Campus Networks where bandwidth can be controlled to help the campus to reduce the cost of underutilized bandwidth at nonpeak hours. © 2023 IEEE.
Institute of Electrical and Electronics Engineers Inc.
2327185X
English
Conference paper

author Shamsuddin A.D.S.; Kassim M.; Abdullah N.P.
spellingShingle Shamsuddin A.D.S.; Kassim M.; Abdullah N.P.
Bandwidth Performance Analysis and Shaping Algorithm on Metro-E Campus Network
author_facet Shamsuddin A.D.S.; Kassim M.; Abdullah N.P.
author_sort Shamsuddin A.D.S.; Kassim M.; Abdullah N.P.
title Bandwidth Performance Analysis and Shaping Algorithm on Metro-E Campus Network
title_short Bandwidth Performance Analysis and Shaping Algorithm on Metro-E Campus Network
title_full Bandwidth Performance Analysis and Shaping Algorithm on Metro-E Campus Network
title_fullStr Bandwidth Performance Analysis and Shaping Algorithm on Metro-E Campus Network
title_full_unstemmed Bandwidth Performance Analysis and Shaping Algorithm on Metro-E Campus Network
title_sort Bandwidth Performance Analysis and Shaping Algorithm on Metro-E Campus Network
publishDate 2023
container_title Colloquium in Information Science and Technology, CIST
container_volume
container_issue
doi_str_mv 10.1109/CiSt56084.2023.10409961
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185403318&doi=10.1109%2fCiSt56084.2023.10409961&partnerID=40&md5=7461082caf11f921d4659e6d79868a1f
description This paper presents the analysis of the traffic of Metro Ethernet (Metro-E) Network (MEN) in the campus network. MEN's technology has given financial manageability to all clients and the expense of utilizing this service has increased from time to time but lacks Quality of Service (QoS) on the accessibility of the clients. This research aims to analyze five (5) campus bandwidth performances on the Metro-E network. Distribution modeling was analyzed based on the data captured and policing algorithm was deployed to identify QoS performance. Data on Campus Network bandwidth traffic was collected using Metro E monitoring tools on the CACTI domain then data are fitted to the best distribution models. Five best-fitted distributions are identified based on maximum likelihood estimator (MLE) value. Next, a shaping algorithm is designed to control the bandwidth used based on a 10% upper bandwidth and fixed threshold. The result presents that the five best traffic distributions are identified which are normal, stable, exponential, logistic, and lastly T-Location Scale. Among the 5 distributions model, it is identified that 'Stable Fits' for Campus A presents the best MLE value of -121642.QoS using a shaping algorithm has been successfully done where 10% upper bandwidth has been derived from the collected traffic data. This research is significant for QoS on bandwidth management on Metro Ethernet Campus Networks where bandwidth can be controlled to help the campus to reduce the cost of underutilized bandwidth at nonpeak hours. © 2023 IEEE.
publisher Institute of Electrical and Electronics Engineers Inc.
issn 2327185X
language English
format Conference paper
accesstype
record_format scopus
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