改进的前向主动网络拥塞控制算法及其性能分析

A modified forward active networks congestion control algorithmand its performance analysis

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 。

The Forward Active Networks Congestion Control Algorithm (FACC) uses Active Networks technology to make feedback congestion control more responsive to network congestion. This paper proposes a modified FACC algorithm (MFACC) for the purpose of increasing the usage of the bandwidth, providing fairness and preventing synchronization. It introduces the Detection Packet technology and the Random Early Detect (RED) queue management algorithm in FACC. A computer simulation is given to analyze the performance of the MFACC algorithm. The result of simulation shows that MFACC not only resolves the above problem, but also increases the throughput of endpoints and decreases the processing delay of packets.