Fuzzy logic bandwidth prediction and policing in a DiffServ-aware network

Differentiated Services (DiffServ)-aware network potentially can provide the next generation platform for multimedia support in the Internet In this work we look at improving bandwidth allocation in such a network. We study how to implement bandwidth predicting and policing in a DiffServ aware netwo...

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Main Authors: Md Din N., Fisal N.
Other Authors: 9335429400
Format: Article
Published: 2023
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spelling my.uniten.dspace-309802023-12-29T15:57:11Z Fuzzy logic bandwidth prediction and policing in a DiffServ-aware network Md Din N. Fisal N. 9335429400 16021700100 Bandwidth prediction DiffServ Fuzzy logic Policing Bandwidth Computer networks Forecasting Frequency modulation Fuzzy inference Fuzzy sets Fuzzy systems Information technology Internet Law enforcement Metropolitan area networks Multimedia services Network protocols Routers Variational techniques Video signal processing Admission control (AC) bandwidth allocations bandwidth prediction Bit rate (bpp) Class based Connections (structural) Diff-Serv Differentiated services (Diff Serv) Multimedia support Network simulator (ns-2) Real-time variables simulation results Simulation studies token buckets Fuzzy logic Differentiated Services (DiffServ)-aware network potentially can provide the next generation platform for multimedia support in the Internet In this work we look at improving bandwidth allocation in such a network. We study how to implement bandwidth predicting and policing in a DiffServ aware network using fuzzy logic. A token bucket fuzzy logic bandwidth predictor for real time variable bit rate traffic class is proposed. Here, the AF traffic class is associated with real time variable bit rates traffic. The fuzzy logic bandwidth predictor facilitates bandwidth predicting and dynamic policing based on the class based packet aggregates. This improves the admission control of connections to the network. A simulation study was performed for the fuzzy logic predictor using Network Simulator-2. The simulation results show that the fuzzy logic predictor gave commendable bandwidth prediction value compared to a deterministic bandwidth allocation for the traffic class. � 2008 Academy Publisher. Final 2023-12-29T07:57:10Z 2023-12-29T07:57:10Z 2008 Article 2-s2.0-61849170274 https://www.scopus.com/inward/record.uri?eid=2-s2.0-61849170274&partnerID=40&md5=516f896610a3df057fea9b6dd8e84af1 https://irepository.uniten.edu.my/handle/123456789/30980 3 5 18 23 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 prediction
DiffServ
Fuzzy logic
Policing
Bandwidth
Computer networks
Forecasting
Frequency modulation
Fuzzy inference
Fuzzy sets
Fuzzy systems
Information technology
Internet
Law enforcement
Metropolitan area networks
Multimedia services
Network protocols
Routers
Variational techniques
Video signal processing
Admission control (AC)
bandwidth allocations
bandwidth prediction
Bit rate (bpp)
Class based
Connections (structural)
Diff-Serv
Differentiated services (Diff Serv)
Multimedia support
Network simulator (ns-2)
Real-time variables
simulation results
Simulation studies
token buckets
Fuzzy logic
spellingShingle Bandwidth prediction
DiffServ
Fuzzy logic
Policing
Bandwidth
Computer networks
Forecasting
Frequency modulation
Fuzzy inference
Fuzzy sets
Fuzzy systems
Information technology
Internet
Law enforcement
Metropolitan area networks
Multimedia services
Network protocols
Routers
Variational techniques
Video signal processing
Admission control (AC)
bandwidth allocations
bandwidth prediction
Bit rate (bpp)
Class based
Connections (structural)
Diff-Serv
Differentiated services (Diff Serv)
Multimedia support
Network simulator (ns-2)
Real-time variables
simulation results
Simulation studies
token buckets
Fuzzy logic
Md Din N.
Fisal N.
Fuzzy logic bandwidth prediction and policing in a DiffServ-aware network
description Differentiated Services (DiffServ)-aware network potentially can provide the next generation platform for multimedia support in the Internet In this work we look at improving bandwidth allocation in such a network. We study how to implement bandwidth predicting and policing in a DiffServ aware network using fuzzy logic. A token bucket fuzzy logic bandwidth predictor for real time variable bit rate traffic class is proposed. Here, the AF traffic class is associated with real time variable bit rates traffic. The fuzzy logic bandwidth predictor facilitates bandwidth predicting and dynamic policing based on the class based packet aggregates. This improves the admission control of connections to the network. A simulation study was performed for the fuzzy logic predictor using Network Simulator-2. The simulation results show that the fuzzy logic predictor gave commendable bandwidth prediction value compared to a deterministic bandwidth allocation for the traffic class. � 2008 Academy Publisher.
author2 9335429400
author_facet 9335429400
Md Din N.
Fisal N.
format Article
author Md Din N.
Fisal N.
author_sort Md Din N.
title Fuzzy logic bandwidth prediction and policing in a DiffServ-aware network
title_short Fuzzy logic bandwidth prediction and policing in a DiffServ-aware network
title_full Fuzzy logic bandwidth prediction and policing in a DiffServ-aware network
title_fullStr Fuzzy logic bandwidth prediction and policing in a DiffServ-aware network
title_full_unstemmed Fuzzy logic bandwidth prediction and policing in a DiffServ-aware network
title_sort fuzzy logic bandwidth prediction and policing in a diffserv-aware network
publishDate 2023
_version_ 1806426030391427072
score 13.214268