基于网络测量和模糊控制技术的拥塞控制机制

为向端系统反馈及时准确的网络状态以提高TCP效率，同时避免主动队列管理（AQM）机制的诸多局限，提出一种基于网络测量的拥塞控制机制——利用分布在网络中的测量设施监测主干链路，再根据链路性能采用模糊控制技术指导端系统选择适当的FAST控制参数．仿真实验表明，该机制能承受更大的负载压力，达到高吞吐量，并能稳定排队时延，在高速网络中比AQM机制更稳定、更公平．相比突发性的Web流量来说，该机制更适用于类似P2P等数据量大、连接持续时间长的流量的拥塞控制．

Congestion Control Scheme Based on Network Measurement and Fuzzy Logic Control Technology

A network-measurement-based congestion control scheme is proposed to avoid the limitations resulting from the AQM(Active Queue Management) mechanism and improve the TCP performance by feeding back timely and correct information on network states to end systems.In the proposed scheme,the measurement facilities distributed in networks are exploited to acquire the performance of network backbone,and according to the resulting data a fuzzy logic controller is used to help end systems determine the appropriate FAST control parameters.Simulation experiments indicate that the proposed scheme can support extremely heavy load,achieve high throughput,and steady the queuing delay.Moreover,it behaves more stably and fairly than the AQM scheme in high-speed networks,and is more suitable for P2P-like large-volume long-lived flows rather than Web-like bursty traffic.