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s1s6,h1h8,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