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Proceedings Paper

Neural network based buffer allocation scheme for ATM networks
Author(s): Ercan Sen; Abhijit S. Pandya
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Paper Abstract

In this paper, we propose an artificial neural network (ANN) based buffer allocation scheme for ATM networks. The proposed scheme assumes limited buffer capacity and nonuniform incoming traffic patterns. The effective utilization of limited buffer capacity under nonuniform traffic conditions is a major concern in maintaining acceptable level of quality of service in these high speed communication networks. The proposed ANN based approach takes advantage of the favorable control characteristics of neural networks such as high adaptability and high speed collective computing power for effective buffer utilization. The proposed model uses complete sharing buffer allocation strategy and enhances its performance for high traffic loads and highly asymmetric traffic patterns by regulating the buffer allocation process dynamically via a neural network based controller. In this study, we considered the buffer allocation problem in the context of routing optimization in ATM networks.

Paper Details

Date Published: 6 April 1995
PDF: 7 pages
Proc. SPIE 2492, Applications and Science of Artificial Neural Networks, (6 April 1995); doi: 10.1117/12.205176
Show Author Affiliations
Ercan Sen, Siemens Stromberg-Carlson, Inc. (United States)
Abhijit S. Pandya, Florida Atlantic Univ. (United States)


Published in SPIE Proceedings Vol. 2492:
Applications and Science of Artificial Neural Networks
Steven K. Rogers; Dennis W. Ruck, Editor(s)

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