NDLI: The limitations of artificial neural networks for traffic prediction

Content Provider	IEEE Xplore Digital Library
Author	Hall, J. Mars, P.
Copyright Year	1998
Description	Author affiliation: Sch. of Eng., Durham Univ., UK (Hall, J.)
Abstract	B-ISDN is expected to support a variety of services, each with their own traffic characteristics and quality of service requirements. Such diversity however, has created new congestion control problems, some of which could be alleviated by a traffic prediction scheme. This paper investigates the applicability of artificial neural networks for traffic prediction in broadband networks. Previous work has indicated that such prediction is indeed possible, as the neural networks are able to learn a complex mapping between past and future arrivals. Such work however has been based on the use of artificially generated traffic, and by definition the past and future arrivals are related. We consider real traffic and show that prediction is possible for certain traffic types but not for others. We also demonstrate that simple linear regression prediction techniques perform equally as well as neural networks.
Starting Page	8
Ending Page	12
File Size	44316
Page Count	5
File Format	PDF
ISBN	0818685387
DOI	10.1109/ISCC.1998.702424
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-06-30
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Artificial neural networks Telecommunication traffic Communication system traffic control Traffic control Neural networks Linear regression Teleconferencing Bandwidth Predictive models Mars
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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