Improving the performance of hierarchical bandwidth allocation for upstream EPON

Many issues of intra- optical network unit (ONU) bandwidth allocation in Ethernet Passive Optical Network (EPON) remain open. In this paper, we report the performance of hierarchical bandwidth allocation algorithm incorporated Russian Doll Model (RDM) as a solution to allocate bandwidth for intra- O...

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Main Authors: Sadon S.Kh., Din N.Md., Al-Mansoori M.H., Yaacob M.B., Radzi N.A.M., Mustafa I.S., Majid M.S.B.A.
Other Authors: 35590723900
Format: Conference paper
Published: 2023
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Institution: Universiti Tenaga Nasional
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spelling my.uniten.dspace-305952023-12-29T15:50:00Z Improving the performance of hierarchical bandwidth allocation for upstream EPON Sadon S.Kh. Din N.Md. Al-Mansoori M.H. Yaacob M.B. Radzi N.A.M. Mustafa I.S. Majid M.S.B.A. 35590723900 9335429400 6505891021 58412870800 57218936786 26967833900 37018353800 Dynamic bandwidth allocation EPON Russian doll mode Algorithms Engineering research Ethernet Fiber optic networks Frequency allocation Innovation Optical communication Passive networks Band-width utilization Bandwidth allocation algorithms Bandwidth allocations Class of service Differentiated Services Dynamic bandwidth allocation EPON Ethernet passive optical networks Intra-ONU Network traffic Optical network units Performance improvements Russian doll Russian doll mode Traffic loads Triple-play Bandwidth Many issues of intra- optical network unit (ONU) bandwidth allocation in Ethernet Passive Optical Network (EPON) remain open. In this paper, we report the performance of hierarchical bandwidth allocation algorithm incorporated Russian Doll Model (RDM) as a solution to allocate bandwidth for intra- ONU in upstream EPON. The allocation of bandwidth is based on the class of service and its priority. Results confirm significant performance improvements for a wide range of traffic loads and triple-play (video, voice, and data) services in terms of the bandwidth utilization, wasted bandwidth and fairness compared with the SHDBA algorithm. The RDDBA maximum significant performance improvements compared to SHDBA is up to 30% depending on the variant and the characteristics of the network traffic. The hierarchical bandwidth allocation with RDM improves the performance of EPON by satisfying the requests of all ONUs and provide differentiated services by guaranteeing both the priority and fairness. �2010 IEEE. Final 2023-12-29T07:50:00Z 2023-12-29T07:50:00Z 2010 Conference paper 10.1109/SCORED.2010.5703977 2-s2.0-79951965200 https://www.scopus.com/inward/record.uri?eid=2-s2.0-79951965200&doi=10.1109%2fSCORED.2010.5703977&partnerID=40&md5=24b9065da3b89b5081a11b1f5e3fbc8d https://irepository.uniten.edu.my/handle/123456789/30595 5703977 86 89 Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic Dynamic bandwidth allocation
EPON
Russian doll mode
Algorithms
Engineering research
Ethernet
Fiber optic networks
Frequency allocation
Innovation
Optical communication
Passive networks
Band-width utilization
Bandwidth allocation algorithms
Bandwidth allocations
Class of service
Differentiated Services
Dynamic bandwidth allocation
EPON
Ethernet passive optical networks
Intra-ONU
Network traffic
Optical network units
Performance improvements
Russian doll
Russian doll mode
Traffic loads
Triple-play
Bandwidth
spellingShingle Dynamic bandwidth allocation
EPON
Russian doll mode
Algorithms
Engineering research
Ethernet
Fiber optic networks
Frequency allocation
Innovation
Optical communication
Passive networks
Band-width utilization
Bandwidth allocation algorithms
Bandwidth allocations
Class of service
Differentiated Services
Dynamic bandwidth allocation
EPON
Ethernet passive optical networks
Intra-ONU
Network traffic
Optical network units
Performance improvements
Russian doll
Russian doll mode
Traffic loads
Triple-play
Bandwidth
Sadon S.Kh.
Din N.Md.
Al-Mansoori M.H.
Yaacob M.B.
Radzi N.A.M.
Mustafa I.S.
Majid M.S.B.A.
Improving the performance of hierarchical bandwidth allocation for upstream EPON
description Many issues of intra- optical network unit (ONU) bandwidth allocation in Ethernet Passive Optical Network (EPON) remain open. In this paper, we report the performance of hierarchical bandwidth allocation algorithm incorporated Russian Doll Model (RDM) as a solution to allocate bandwidth for intra- ONU in upstream EPON. The allocation of bandwidth is based on the class of service and its priority. Results confirm significant performance improvements for a wide range of traffic loads and triple-play (video, voice, and data) services in terms of the bandwidth utilization, wasted bandwidth and fairness compared with the SHDBA algorithm. The RDDBA maximum significant performance improvements compared to SHDBA is up to 30% depending on the variant and the characteristics of the network traffic. The hierarchical bandwidth allocation with RDM improves the performance of EPON by satisfying the requests of all ONUs and provide differentiated services by guaranteeing both the priority and fairness. �2010 IEEE.
author2 35590723900
author_facet 35590723900
Sadon S.Kh.
Din N.Md.
Al-Mansoori M.H.
Yaacob M.B.
Radzi N.A.M.
Mustafa I.S.
Majid M.S.B.A.
format Conference paper
author Sadon S.Kh.
Din N.Md.
Al-Mansoori M.H.
Yaacob M.B.
Radzi N.A.M.
Mustafa I.S.
Majid M.S.B.A.
author_sort Sadon S.Kh.
title Improving the performance of hierarchical bandwidth allocation for upstream EPON
title_short Improving the performance of hierarchical bandwidth allocation for upstream EPON
title_full Improving the performance of hierarchical bandwidth allocation for upstream EPON
title_fullStr Improving the performance of hierarchical bandwidth allocation for upstream EPON
title_full_unstemmed Improving the performance of hierarchical bandwidth allocation for upstream EPON
title_sort improving the performance of hierarchical bandwidth allocation for upstream epon
publishDate 2023
_version_ 1806427354138935296