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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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 |
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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 |
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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 |
_version_ |
1772828141456195584 |