前向主动网络拥塞控制算法 (FACC)利用主动式网络 (ActiveNetworks)技术使基于反馈的拥塞控制机制能够及时地对网络拥塞作出反应 .文中提出了一种改进算法MFACC ,在FACC算法的基础上引入了探测数据包技术和RED队列管理算法 ,用于解决FACC算法中存在的带宽利用率不高 ,公平性差 ,容易造成同步和结点对突发数据的适应性差等问题 .文中还利用计算机仿真研究了MFACC算法在各种网络条件下的性能 ,结果表明MFACC算法不但有效地解决了上述问题 ,在提高源端平均吞吐量 ,缩短数据包的处理迟延上也表现出了良好的性能 Forward Active Network Congestion Control Algorithm (FACC) uses active network (ActiveNetworks) technology to feedback-based congestion control mechanism to timely response to network congestion.This paper presents an improved algorithm MFACC, based on the FACC algorithm introduced The probe packet technology and the RED queue management algorithm are used to solve the problems of low bandwidth utilization, poor fairness, easy adaptability of synchronization and node to burst data in FACC algorithm.This paper also uses computer simulation The performance of the MFACC algorithm under various network conditions shows that the MFACC algorithm not only effectively solves the above problems, but also shows good performance in improving the average throughput at the source end and shortening the processing delay of the data packet