Predictive Congestion Control of ATM Networks: Multiple Sources/single Buffer Scenario

Author

Sarangapani Jagannathan, Missouri University of Science and TechnologyFollow
J. Talluri

Abstract

This paper proposes a predictive congestion control methodology for the Available Bit Rate (ABR) service class in an ATM network for the case of multiple nodes with single buffer scenario. Adaptive controller is developed to control traffic where sources adjust their transmission rates in response to the feedback information from the network nodes. Specifically, the dynamics of the ABR sources with the buffer is modeled as a nonlinear system and an autogressive moving average based (ARMAX) adaptive controller is designed to predict the explicit values of the transmission rates of the sources so as to prevent network congestion. Stability analysis of the closed-loop system is presented. Simulation results are provided to justify the theoretical conclusions.

Recommended Citation

S. Jagannathan and J. Talluri, "Predictive Congestion Control of ATM Networks: Multiple Sources/single Buffer Scenario," Proceedings of the IEEE Conference on Decision and Control, vol. 1, pp. 47 - 52, Elsevier, Jan 2000.

The definitive version is available at https://doi.org/10.1016/S0005-1098(01)00259-X

Department(s)

Electrical and Computer Engineering

Second Department

Computer Science

International Standard Serial Number (ISSN)

0191-2216

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2024 Elsevier, All rights reserved.

Publication Date

01 Jan 2000