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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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 |
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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 |
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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 |
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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. |
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9335429400 |
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9335429400 Din N.M. Fisal N. |
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Conference paper |
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Din N.M. Fisal N. |
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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 |
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13.214268 |