1. 安装轻量级网络仿真工具Mininet
使用github上的Mininet源安装,使用命令依次为:
git clone https://github.com/mininet/mininet.git cd mininet/util ./install.sh
安装成功终端显示Enjoy Mininet
2. 用字符命令搭建如下拓扑,要求写出命令
sudo mn --topo linear,4
查看net信息 输入命令net
查看所有节点连通性 输入命令pingall
创建树形拓扑
sudo mn --topo tree,depth=3,fanout=2
查看net信息 输入命令net
查看所有节点连通性 输入命令pingall
3.利用可视化工具搭建如下拓扑,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。
在配置完后,执行run,终端产生拓扑信息,同时展示网络信息和测试连通性
验证主机ip,查看拓扑端口连接情况
4.利用Python脚本完成如下图所示的一个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)
python脚本代码
#!/usr/bin/python # sudo mn --custom fattree.py --topo mytopo --switch ovsk,protocols=OpenFlow10 """Custom topology example Adding the 'topos' dict with a key/value pair to generate our newly defined topology enables one to pass in '--topo=mytopo' from the command line. """ 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 = 4 c = [] a = [] # 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[0: :1]: self.addLink(sw2, sw1) #add hosts and its links with aggregation 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())}
命令行输入sudo mn --custom fattree.py --topo mytopo --switch ovsk,protocols=OpenFlow10
mininet截图