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Neural networks based variable bit rate traffic prediction for traffic control using multiple leaky...

Neural networks based variable bit rate traffic prediction for traffic control using multiple leaky...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_29036371

Neural networks based variable bit rate traffic prediction for traffic control using multiple leaky bucket

About this item

Full title

Neural networks based variable bit rate traffic prediction for traffic control using multiple leaky bucket

Publisher

London, England: SAGE Publications

Journal title

Journal of high speed networks, 2006-01, Vol.15 (2), p.111-122

Language

English

Formats

Publication information

Publisher

London, England: SAGE Publications

More information

Scope and Contents

Contents

This work presents a novel feedback rate regulator using the multiple leaky bucket (MLB) for variable bit rate (VBR) self-similar traffic that is based on the traffic load prediction by time-delayed neural networks in ATM networks. In the MLB mechanism, the leak rate and buffer capacity of each leaky bucket (LB) can be dynamically adjusted based on...

Alternative Titles

Full title

Neural networks based variable bit rate traffic prediction for traffic control using multiple leaky bucket

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_29036371

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_29036371

Other Identifiers

ISSN

0926-6801

E-ISSN

1875-8940

DOI

10.3233/HSN-2006-281

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