Neural network based ATM admission controller

Broadband Integrated Service Digital Networks (B-ISDN), along with Asynchronous Transfer Mode (ATM), are designed to support the requirements of modern communication that cover multiple users with multimedia traffic including voice, data, video. The resource allocation by the ATM Connection Admis...

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Bibliographic Details
Main Author: Joice Yanto
Other Authors: Quah, Tong Seng
Format: Theses and Dissertations
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/4465
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-44652023-07-04T15:11:41Z Neural network based ATM admission controller Joice Yanto Quah, Tong Seng School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems DRNTU::Engineering::Computer science and engineering::Computer systems organization::Computer-communication networks Broadband Integrated Service Digital Networks (B-ISDN), along with Asynchronous Transfer Mode (ATM), are designed to support the requirements of modern communication that cover multiple users with multimedia traffic including voice, data, video. The resource allocation by the ATM Connection Admission Control (CAC) is one of the crucial factors needed to meet the certain criteria of the network performance that must guarantee the quality of service negotiated of the existing connection. To develop a reliable ATM Connection Admission Controller is a very difficult task, because of the dynamic nature of the source traffic. The associated mathematical algorithm is complex. Master of Science (Communication and Network Systems) 2008-09-17T09:52:06Z 2008-09-17T09:52:06Z 1999 1999 Thesis http://hdl.handle.net/10356/4465 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
DRNTU::Engineering::Computer science and engineering::Computer systems organization::Computer-communication networks
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
DRNTU::Engineering::Computer science and engineering::Computer systems organization::Computer-communication networks
Joice Yanto
Neural network based ATM admission controller
description Broadband Integrated Service Digital Networks (B-ISDN), along with Asynchronous Transfer Mode (ATM), are designed to support the requirements of modern communication that cover multiple users with multimedia traffic including voice, data, video. The resource allocation by the ATM Connection Admission Control (CAC) is one of the crucial factors needed to meet the certain criteria of the network performance that must guarantee the quality of service negotiated of the existing connection. To develop a reliable ATM Connection Admission Controller is a very difficult task, because of the dynamic nature of the source traffic. The associated mathematical algorithm is complex.
author2 Quah, Tong Seng
author_facet Quah, Tong Seng
Joice Yanto
format Theses and Dissertations
author Joice Yanto
author_sort Joice Yanto
title Neural network based ATM admission controller
title_short Neural network based ATM admission controller
title_full Neural network based ATM admission controller
title_fullStr Neural network based ATM admission controller
title_full_unstemmed Neural network based ATM admission controller
title_sort neural network based atm admission controller
publishDate 2008
url http://hdl.handle.net/10356/4465
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