Neural networks in B-ISDN flow control : ATM traffic prediction or network modeling

• Type: Article in International Scientific Journal
• Date: 2010

Authors

Joaquim E. Neves (Author) Other; Mário J. Leitão (Author) Other; Luis B. Almeida (Author) FEUP

Journal

Title: IEEE Communications Magazine

Vol. 33 No. 10

Pages: 50-56

ISSN: 0163-6804

Publisher: IEEE

Indexing

ISI Web of Science

Scopus

INSPEC

COMPENDEX

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

CORDIS: Technological sciences > Engineering > Communication engineering > Telecommunications engineering

Other information

DOI: 10.1109/35.466219

Abstract (EN): The authors discuss a technique that offers the combination of shared bandwidth and rejection rate parameters, together with the quality of service predicted by neural networks in a novel strategy for connection admission control and call routing.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 7