网络拥塞控制算法REM的NS仿真
最后对全文所做的研究工作进行了总结，并指出了有待进一步研究的问题。
关键词 拥塞控制 主动队列管理 随机指数标记算法
Title Implementation of the control network congestion
algorithm REM in NS2
Abstract
With the rapid development of Internet, the scale of network tends to widen,
and its structure becomes more complex. Also the bandwidth, numbers of
users as well as types of network transactions grow fastly. How to
efficiently manage the resource of network, avoid and control network
congestion, and guarantee the quality of service have been a hot research
issue in communication networks.
Conducted in-depth study of active queue management algorithm in the random
exponential marking algorithm .REM algorithm using the queue length
deviation and input / output rate deviation calculated a link price,
according to this link price to calculate the loss rate. From the control
theory point of view, rate of queue length differential, so compared to
using only the length of queue congestion control algorithm, REM algorithm
for congestion has better early judgement. Based on the Network Simulator
platform under simulated, and compared with the random early detection
( RED) were compared, the packet loss rate, throughput, end-to-end delay
and other performance indicators are analyzed.
Finally, we draw our conclusions and propose some further research
directions.
Keywords congestion control, active queue management,random exponential
marking algorithm 目 次
1 绪论............................................................. 1
1.1 拥塞控制的背景和研究意义....................................... 1
1.2 国内外拥塞控制研究现状......................................... 1
1.3 拥塞控制的研究目标............................................. 3
1.4 论文章节结构................................................... 4
2 仿真平台与编程基础............................................... 4
2.1 网络模拟器 NS .................................................. 4
2.2 Tcl和OTcl..................................................... 7
2.3 NS2进行网络模拟基本流程 ...................................... 10
3 主动队列管理算法................................................ 12
3.1 队列管理技术概述.............................................. 12
3.2 AQM算法的性能指标 ............................................ 13