Neural network based buffer allocation scheme for ATM networks

Ercan Sen; Abhijit S. Pandya

doi:10.1117/12.205176

6 April 1995 Neural-network-based buffer allocation scheme for ATM networks

Ercan Sen, Abhijit S. Pandya

Proceedings Volume 2492, Applications and Science of Artificial Neural Networks; (1995) https://doi.org/10.1117/12.205176
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

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.

Citation Download Citation

Ercan Sen and Abhijit S. Pandya "Neural-network-based buffer allocation scheme for ATM networks", Proc. SPIE 2492, Applications and Science of Artificial Neural Networks, (6 April 1995); https://doi.org/10.1117/12.205176

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