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A FEEDBACK CONTROL INFORMATION AND ALGORITHM FOR ABR TRAFFIC

机译:ABR流量的反馈控制信息与算法

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VCNs (Virtual-Connection Networks) of ATM network can be efficiently used to transport packet data services. The switching system will support voice and packet data services simultaneously from end to end applications. To guarantee quality of service (QoS) of the offered services, source rate to send packet data is needed to control the network overload condition. Most existing control algorithms are shown to provide the threshold-based feedback control technique. However, real-time voice calls can be dynamically connected and released during data services in the network. If the feedback control information delays, quality of the serviced voice can be degraded due to a time delay between source and destination in the high speed link. An adaptive algorithm based on the optimal least mean square error technique is presented for the predictive feedback control technique. The algorithm attempts to predict a future buffer size from weight factor(slope) adaptation of unknown functions, which are used for feedback control. Simulation results are presented, which show the effectiveness of the algorithm.
机译:ATM网络的VCN(虚拟连接网络)可以有效地用于传输分组数据服务。交换系统将同时从端到端应用程序支持语音和分组数据服务。为了保证所提供服务的服务质量(QoS),需要使用发送数据包数据的源速率来控制网络过载情况。示出了大多数现有的控制算法以提供基于阈值的反馈控制技术。但是,可以在网络中的数据服务期间动态连接和释放实时语音呼叫。如果反馈控制信息延迟,则由于高速链路中源和目标之间的时间延迟,服务语音的质量可能会降低。针对预测反馈控制技术,提出了一种基于最优最小均方误差技术的自适应算法。该算法尝试根据未知函数的权重因子(斜率)适应性来预测将来的缓冲区大小,这些函数用于反馈控制。仿真结果表明了算法的有效性。

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