安装轻量级网络仿真工具Mininet

我使用了git安装

git clone git://github.com/mininet/mininet
mininet/util/install.sh -a

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,fanout=3,depth=2

查看:

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。

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)

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, bw=10, delay='5ms', loss=10, max_queue_size=1000, use_htb=True)
                        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() ) }

实验总结

本次实验较为简单,基本上按照给定的操作按部就班,配置好合适的环境就可以顺利完成作业。

 posted on 2019-11-03 21:38  潮鸣人  阅读(126)  评论(0编辑  收藏  举报