"h32": 1,"s1": 0,"s2": 0,"s3": 0,"s4": 0,"s5": 0,
"s6": 0,"s7": 0,"s8": 0,"s9": 0,"s10": 0,"s11": 0,
"s12": 0,"s13": 0,"s14": 0,"s15": 0,"s16": 0,"s17": 1,
"s18": 1,"s19": 1,"s20": 1,"s21": 1,"s22": 1,"s23": 1,
"s24": 1,"s25": 1,"s26": 1,"s27": 1,"s28": 1,"s29": 1,
"s30": 1,"s31": 1,"s32": 1,"s33": 0,"s34": 0,"s35": 0,
"s36": 0,"s37": 0,"s38": 0,"s39": 0,"s40": 0,"s41": 1,
"s42": 1,"s43": 1,"s44": 1,"s45": 1,"s46": 1,"s47": 1,
"s48": 1,"s49": 0,"s50": 0,"s51": 0,"s52": 0,"s53": 1,
"s54": 1,"s55": 1,"s56": 1,"s57": 0,"s58": 0,"s59": 1,
"s60": 1,"s61": 0,"s62": 1,"s63": 0
}
print "Hosts : ", len(topo.hosts())
n = len(topo.hosts())
print "Switches : ", len(topo.switches())
#print "Links :", topo.links()
cluster = maxinet.Cluster(minWorkers=2,maxWorkers=2)
#exp = maxinet.Experiment(cluster, topo, nodemapping=mapping)
exp = maxinet.Experiment(cluster, topo)
exp.setup()
#print exp.get_node("h1").cmd("ifconfig") # call mininet cmd function of h1
#print exp.get_node("h4").cmd("ifconfig")
print "waiting 5 seconds for routing algorithms on the controller to converge"
sleep(5)
for i in xrange(depth-1, -1, -1):
total_leaves = int (math.pow(total_workers, i))
print " * Level = ",i, ", Total leaves ", total_leaves
for j in xrange(total_leaves):
worker = j/ int(math.ceil(total_leaves/float(total_workers)))
#print " ",str(sid)+" : "+str(worker)
mapping['s'+str(sid)] = worker
sid+=1
print "Creating",n,"host FatTree topology with BW:",bw,"Delay:",delay
topo = FatTree(n, bw, delay)
print "Total Hosts : ", len(topo.hosts()),
n = len(topo.hosts())
print "Total Switches : ", len(topo.switches())
#print "Links :", topo.links()
cluster = maxinet.Cluster(minWorkers=2,maxWorkers=2)
print "Cluster num_workers:", cluster.num_workers
print "Cluster hosts:", cluster.workers
exp = maxinet.Experiment(cluster, topo, nodemapping=mapping)
#exp = maxinet.Experiment(cluster, topo)
exp.setup()
#print exp.get_node("h1").cmd("ifconfig") # call mininet cmd function of h1
print "waiting 5 seconds for routing algorithms on the controller to converge"
sleep(5)
#worker1 = exp.get_worker("h1")
print "\n Total Workers in this cluster:",exp.cluster.num_workers()
workermap = exp.generate_hostname_mapping()
print " Worker mapping:", workermap