A predictive self-tuning fuzzy-logic feedback rate controller
This paper addresses the design and analysis of an end-to-end rate-based feedback flow control algorithm motivated by the available bit rate (ABR) service in wide-area asynchronous transfer mode (ATM) networks. Recognizing that the explicit feedback rate at time t will not affect the ABR buffer until time t + D for some D greater than or equal to 0, our approach is to first predict the ABR buffer status at time t + D, then base fuzzy-logic rate control decisions on these predicted values, and finally tune the controller parameters using gradient descent methods. Simulations show that this predictive self-tuning fuzzy-logic (PSTF) control scheme is efficient, stable, and outperforms other proposed ABR rate controllers in a variety of network en environments. With delays corresponding to a U.S. coast-to-coast connection, the PSTF controller can maintain high link utilization, avoid buffer overflows, and provide fair allocation of resources.
asynchronous transfer mode adaptive control computer network performance feedback systems fuzzy control predictive control traffic control