1. 安装轻量级网络仿真工具Mininet
- 使用
git clone https://github.com/mininet/mininet.git
命令克隆安装包 安装mininet
安装成功
建立最小的拓扑结构,并使用net命令查看
2. 用字符命令搭建如下拓扑,要求写出命令
sudo mn --topo=linear,3
sudo mn --topo=tree,depth=2,fanout=3
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。
- 搭建拓扑
设置
验证主机ip
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)
- 代码
#!/user/bin/python # create topo """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=L1*2 L3=L2 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[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())}