Fuzzy Logic Token Bucket Bandwidth Predictor for Assured Forwarding Traffic in a DiffServ-Aware MPLS Internet

The foundation of the Internet network architecture, which revolves around the transfer of packets over multitude of networks, need to be improvised to support multimedia communications. To this end the Internet community has proposed several architectures that potentially can address this requireme...

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Main Authors: Din N.M., Fisal N.
Other Authors: 9335429400
Format: Conference paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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spelling my.uniten.dspace-297942023-12-28T16:57:42Z Fuzzy Logic Token Bucket Bandwidth Predictor for Assured Forwarding Traffic in a DiffServ-Aware MPLS Internet Din N.M. Fisal N. 9335429400 57189065570 Bandwidth Computer circuits Internet Multimedia systems Network architecture Quality of service Queueing networks Reconfigurable hardware Routers Band-width utilization Bandwidth prediction Differentiated Services Internet communities Internet network architectures Multi protocol label switching Multi-media communications Network simulator-2 Fuzzy logic The foundation of the Internet network architecture, which revolves around the transfer of packets over multitude of networks, need to be improvised to support multimedia communications. To this end the Internet community has proposed several architectures that potentially can address this requirement. Two promising architectures are Differentiated Services (DiffServ) and Multiprotocol Label Switching (MPLS). This paper describes a fuzzy logic token bucket bandwidth predictor for Assured Forwarding (AF) traffic aggregates at the DiffServ level in a DiffServ-aware MPLS Internet network. The AF traffic class comprise of variable bit rates traffic. The fuzzy logic bandwidth predictor facilitates bandwidth predicting and dynamic policing at the DiffServ level. A simulation study was performed for the fuzzy logic predictor using Network Simulator-2. The network and traffic models were developed and validated before the performance study is performed. The results show that the fuzzy logic predictor gave commendable bandwidth prediction compared to actual bandwidth utilization of the AF traffic class. � 2007 IEEE. Final 2023-12-28T08:57:42Z 2023-12-28T08:57:42Z 2007 Conference paper 10.1109/AMS.2007.47 2-s2.0-67349211945 https://www.scopus.com/inward/record.uri?eid=2-s2.0-67349211945&doi=10.1109%2fAMS.2007.47&partnerID=40&md5=615f3de9dd599c0b691350aa42865705 https://irepository.uniten.edu.my/handle/123456789/29794 4148667 247 252 Institute of Electrical and Electronics Engineers Inc. 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 Bandwidth
Computer circuits
Internet
Multimedia systems
Network architecture
Quality of service
Queueing networks
Reconfigurable hardware
Routers
Band-width utilization
Bandwidth prediction
Differentiated Services
Internet communities
Internet network architectures
Multi protocol label switching
Multi-media communications
Network simulator-2
Fuzzy logic
spellingShingle Bandwidth
Computer circuits
Internet
Multimedia systems
Network architecture
Quality of service
Queueing networks
Reconfigurable hardware
Routers
Band-width utilization
Bandwidth prediction
Differentiated Services
Internet communities
Internet network architectures
Multi protocol label switching
Multi-media communications
Network simulator-2
Fuzzy logic
Din N.M.
Fisal N.
Fuzzy Logic Token Bucket Bandwidth Predictor for Assured Forwarding Traffic in a DiffServ-Aware MPLS Internet
description The foundation of the Internet network architecture, which revolves around the transfer of packets over multitude of networks, need to be improvised to support multimedia communications. To this end the Internet community has proposed several architectures that potentially can address this requirement. Two promising architectures are Differentiated Services (DiffServ) and Multiprotocol Label Switching (MPLS). This paper describes a fuzzy logic token bucket bandwidth predictor for Assured Forwarding (AF) traffic aggregates at the DiffServ level in a DiffServ-aware MPLS Internet network. The AF traffic class comprise of variable bit rates traffic. The fuzzy logic bandwidth predictor facilitates bandwidth predicting and dynamic policing at the DiffServ level. A simulation study was performed for the fuzzy logic predictor using Network Simulator-2. The network and traffic models were developed and validated before the performance study is performed. The results show that the fuzzy logic predictor gave commendable bandwidth prediction compared to actual bandwidth utilization of the AF traffic class. � 2007 IEEE.
author2 9335429400
author_facet 9335429400
Din N.M.
Fisal N.
format Conference paper
author Din N.M.
Fisal N.
author_sort Din N.M.
title Fuzzy Logic Token Bucket Bandwidth Predictor for Assured Forwarding Traffic in a DiffServ-Aware MPLS Internet
title_short Fuzzy Logic Token Bucket Bandwidth Predictor for Assured Forwarding Traffic in a DiffServ-Aware MPLS Internet
title_full Fuzzy Logic Token Bucket Bandwidth Predictor for Assured Forwarding Traffic in a DiffServ-Aware MPLS Internet
title_fullStr Fuzzy Logic Token Bucket Bandwidth Predictor for Assured Forwarding Traffic in a DiffServ-Aware MPLS Internet
title_full_unstemmed Fuzzy Logic Token Bucket Bandwidth Predictor for Assured Forwarding Traffic in a DiffServ-Aware MPLS Internet
title_sort fuzzy logic token bucket bandwidth predictor for assured forwarding traffic in a diffserv-aware mpls internet
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806425287562362880
score 13.222552