fractal.py
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#!/usr/bin/env python
from mininet.topo import Topo
class FractalTopo( Topo ):
def build( self, n=3, h=2 ):
clusters = []
for i in range( 1, n+1 ):
clusterSws = []
# create switches in cluster
for j in range( 1, n+1 ):
id = i * 1000 + j
sw = self.addSwitch('s%d' % id, dpid=str(id).zfill(16))
[ self.addLink(s, sw) for s in clusterSws ]
clusterSws.append(sw)
clusters.append(clusterSws)
for i in range( 1, n+1 ):
# create the edge switch
id = i * 10000
sw = self.addSwitch('s%d' % id, dpid=str(id).zfill(16))
self.addLink(clusters[i-1].pop(0), sw)
for j in range( 1, h+1 ):
id = i * 1000 + j
host = self.addHost( 'h%d' % id )
self.addLink( host, sw )
for i in range( 1, n+1 ):
# connect the clusters
if i == n:
id = n * 1000000 + 10000
sw = self.addSwitch('s%d' % id, dpid=str(id).zfill(16))
self.addLink(clusters[i-1].pop(0), sw)
self.addLink(clusters[0].pop(0), sw)
else:
id = (i+1) * 1000000 + i * 10000
sw = self.addSwitch('s%d' % id, dpid=str(id).zfill(16))
self.addLink(clusters[i-1].pop(0), sw)
self.addLink(clusters[i].pop(0), sw)
topos = { 'fractal': FractalTopo }
def run():
topo = FractalTopo()
net = Mininet( topo=topo, controller=RemoteController, autoSetMacs=True )
net.start()
CLI( net )
net.stop()
if __name__ == '__main__':
setLogLevel( 'info' )
run()