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A predictive self-tuning fuzzy-logic feedback rate controller

机译:预测性自调整模糊逻辑反馈率控制器

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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/spl ges/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 environments. With delays corresponding to a US coast-to-coast connection, the PSTF controller can maintain high link utilization, avoid buffer overflows, and provide fair allocation of resources.
机译:本文讨论了由广域异步传输模式(ATM)网络中的可用比特率(ABR)服务驱动的基于端到端速率的反馈流控制算法的设计和分析。认识到对于某些D / spl ges / 0,在时间t之前的显式反馈速率将不会影响ABR缓冲区,因此,我们的方法是首先预测时间t + D处的ABR缓冲区状态,然后基于模糊逻辑对这些预测值进行速度控制决策,并最终使用梯度下降方法调整控制器参数。仿真表明,这种预测性自调整模糊逻辑(PSTF)控制方案高效,稳定,并且在各种网络环境中均优于其他建议的ABR速率控制器。 PSTF控制器具有与美国海岸到海岸连接相对应的延迟,可以维持较高的链路利用率,避免缓冲区溢出,并公平分配资源。

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