1. 安装轻量级网络仿真工具Mininet
git clone git://github.com/mininet/mininet.git cd mininet git tag git checkout 2.3.0d6 ./util/install.sh -a
2. 用字符命令搭建如下拓扑,要求写出命令
输入命令:sudo mn --topo linear,3
输入命令:sudo mn --topo tree,fanout=3,depth=2
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。
可视化工具创建拓扑如下:
设置支持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):
点击RUN运行:
验证主机IP,输入Xterm h1 h2 h3
,再分别输入ifconfig
:
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 edge ovs # 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, bw=10, delay='5ms', loss=10, max_queue_size=1000, use_htb=True) self.addLink( sw2, sw1 ) # add links between aggregation and edge ovs #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() ) }
使用命令sudo mn --custom fattree.py --topo mytopo --controller=remote,ip=127.0.0.1,port=6633 --switch ovsk,protocols=OpenFlow10
运行,得到如下结果:
使用net查看拓扑: