1. 安装轻量级网络仿真工具Mininet
使用github源安装
安装步骤:
- clone github
- 使用 sudo ./install.sh -a 命令安装
- 安装完成
2. 用字符命令搭建拓扑,要求写出命令
- 第一题
sudo mn --topo linear,4- 第二题
sudo mn --topo tree, fanout=3,depth=23. 利用可视化工具搭建拓扑,并要求支持OpenFlow 1.0 1.1 1.2 1.3,设置h1(10.0.0.10)、h2(10.0.0.11)、h3(10.0.0.12),拓扑搭建完成后使用命令验证主机ip,查看拓扑端口连接情况。
- 图形界面
- 支持OpenFlow 1.0 1.1 1.2 1.3,设置h1(10.0.0.10)、h2(10.0.0.11)、h3(10.0.0.12)
- 单击run
net命令查看拓扑
使用命令验证主机ip,查看拓扑端口连接情况
4. 利用Python脚本完成一个Fat-tree型的拓扑(交换机和主机名需与图中一致,即s1~s6,h1~h8,并且链路正确,请给出Mininet相关截图
- 截图
- 代码
from mininet.topo import Topo from mininet.net import Mininet from mininet.node import RemoteController,CPULimitedHost from mininet.link import TCLink from mininet.util import dumpNodeConnections class MyTopo( Topo ): "Simple topology example." def __init__( self ): "Create custom topo." # Initialize topology Topo.__init__( self ) L1 = 2 L2 = L1 * 2 L3 = L2 c = [] a = [] e = [] # add core ovs for i in range( L1 ): sw = self.addSwitch( 's{}'.format( i + 1 ) ) c.append( sw ) # add aggregation ovs for i in range( L2 ): sw = self.addSwitch( 's{}'.format( L1 + i + 1 ) ) a.append( sw ) # add links between core and aggregation ovs for i in range( L1 ): sw1 = c[i] for sw2 in a[i/2::L1/2]: self.addLink( sw2, sw1 ) #add hosts and its links with edge ovs count = 1 for sw1 in a: for i in range(2): host = self.addHost( 'h{}'.format( count ) ) self.addLink( sw1, host ) count += 1 topos = { 'mytopo': ( lambda: MyTopo() ) }
来源:
https://www.cnblogs.com/fangdaoyou/p/11768200.html
- 支持OpenFlow 1.0 1.1 1.2 1.3,设置h1(10.0.0.10)、h2(10.0.0.11)、h3(10.0.0.12)
- 第二题
- 使用 sudo ./install.sh -a 命令安装