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topo.py
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topo.py
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#!/usr/bin/env python
from mininet.topo import Topo
class TwoHostNInterfaceTopo(Topo):
"Two hosts connected by N interfaces"
def __init__(self, n, **opts):
"n is the number of interfaces connecting the hosts."
super(TwoHostNInterfaceTopo, self).__init__(**opts)
# Note: switches are not strictly necessary, but they do give
# visibility into traffic from the root namespace.
SWITCHES = ['s%i' % i for i in range(1, n + 1)]
for sw in SWITCHES:
self.addSwitch(sw)
HOSTS = ['h1', 'h2']
for h in HOSTS:
self.addHost(h)
for sw in SWITCHES:
self.addLink(h, sw)
topos = {'2hostNintf': lambda n: TwoHostNInterfaceTopo(n)}
#-----------------------------------------------
'''@package dctopo
Data center network topology creation and drawing.
@author Brandon Heller ([email protected])
This package includes code to create and draw networks with a regular,
repeated structure. The main class is StructuredTopo, which augments the
standard Mininet Topo object with layer metadata plus convenience functions to
enumerate up, down, and layer edges.
'''
PORT_BASE = 1 # starting index for OpenFlow switch ports
class NodeID(object):
'''Topo node identifier.'''
def __init__(self, dpid = None):
'''Init.
@param dpid dpid
'''
# DPID-compatible hashable identifier: opaque 64-bit unsigned int
self.dpid = dpid
def __str__(self):
'''String conversion.
@return str dpid as string
'''
return str(self.dpid)
def name_str(self):
'''Name conversion.
@return name name as string
'''
return str(self.dpid)
def ip_str(self):
'''Name conversion.
@return ip ip as string
'''
hi = (self.dpid & 0xff0000) >> 16
mid = (self.dpid & 0xff00) >> 8
lo = self.dpid & 0xff
return "10.%i.%i.%i" % (hi, mid, lo)
class StructuredNodeSpec(object):
'''Layer-specific vertex metadata for a StructuredTopo graph.'''
def __init__(self, up_total, down_total, up_speed, down_speed,
type_str = None):
'''Init.
@param up_total number of up links
@param down_total number of down links
@param up_speed speed in Gbps of up links
@param down_speed speed in Gbps of down links
@param type_str string; model of switch or server
'''
self.up_total = up_total
self.down_total = down_total
self.up_speed = up_speed
self.down_speed = down_speed
self.type_str = type_str
class StructuredEdgeSpec(object):
'''Static edge metadata for a StructuredTopo graph.'''
def __init__(self, speed = 1.0):
'''Init.
@param speed bandwidth in Gbps
'''
self.speed = speed
class StructuredTopo(Topo):
'''Data center network representation for structured multi-trees.'''
def __init__(self, node_specs, edge_specs):
'''Create StructuredTopo object.
@param node_specs list of StructuredNodeSpec objects, one per layer
@param edge_specs list of StructuredEdgeSpec objects for down-links,
one per layer
'''
super(StructuredTopo, self).__init__()
self.node_specs = node_specs
self.edge_specs = edge_specs
def def_nopts(self, layer):
'''Return default dict for a structured topo.
@param layer layer of node
@return d dict with layer key/val pair, plus anything else (later)
'''
return {'layer': layer}
def layer(self, name):
'''Return layer of a node
@param name name of switch
@return layer layer of switch
'''
return self.node_info[name]['layer']
def isPortUp(self, port):
''' Returns whether port is facing up or down
@param port port number
@return portUp boolean is port facing up?
'''
return port % 2 == PORT_BASE
def layer_nodes(self, layer):
'''Return nodes at a provided layer.
@param layer layer
@return names list of names
'''
def is_layer(n):
'''Returns true if node is at layer.'''
return self.layer(n) == layer
nodes = [n for n in self.g.nodes() if is_layer(n)]
return nodes
def up_nodes(self, name):
'''Return edges one layer higher (closer to core).
@param name name
@return names list of names
'''
layer = self.layer(name) - 1
nodes = [n for n in self.g[name] if self.layer(n) == layer]
return nodes
def down_nodes(self, name):
'''Return edges one layer higher (closer to hosts).
@param name name
@return names list of names
'''
layer = self.layer(name) + 1
nodes = [n for n in self.g[name] if self.layer(n) == layer]
return nodes
def up_edges(self, name):
'''Return edges one layer higher (closer to core).
@param name name
@return up_edges list of name pairs
'''
edges = [(name, n) for n in self.up_nodes(name)]
return edges
def down_edges(self, name):
'''Return edges one layer lower (closer to hosts).
@param name name
@return down_edges list of name pairs
'''
edges = [(name, n) for n in self.down_nodes(name)]
return edges
# def draw(self, filename = None, edge_width = 1, node_size = 1,
# node_color = 'g', edge_color = 'b'):
# '''Generate image of RipL network.
#
# @param filename filename w/ext to write; if None, show topo on screen
# @param edge_width edge width in pixels
# @param node_size node size in pixels
# @param node_color node color (ex 'b' , 'green', or '#0000ff')
# @param edge_color edge color
# '''
# import matplotlib.pyplot as plt
#
# pos = {} # pos[vertex] = (x, y), where x, y in [0, 1]
# for layer in range(len(self.node_specs)):
# v_boxes = len(self.node_specs)
# height = 1 - ((layer + 0.5) / v_boxes)
#
# layer_nodes = sorted(self.layer_nodes(layer, False))
# h_boxes = len(layer_nodes)
# for j, dpid in enumerate(layer_nodes):
# pos[dpid] = ((j + 0.5) / h_boxes, height)
#
# fig = plt.figure(1)
# fig.clf()
# ax = fig.add_axes([0, 0, 1, 1], frameon = False)
#
# draw_networkx_nodes(self.g, pos, ax = ax, node_size = node_size,
# node_color = node_color, with_labels = False)
# # Work around networkx bug; does not handle color arrays properly
# for edge in self.edges(False):
# draw_networkx_edges(self.g, pos, [edge], ax = ax,
# edge_color = edge_color, width = edge_width)
#
# # Work around networkx modifying axis limits
# ax.set_xlim(0, 1.0)
# ax.set_ylim(0, 1.0)
# ax.set_axis_off()
#
# if filename:
# plt.savefig(filename)
# else:
# plt.show()
class FatTreeTopo(StructuredTopo):
'''Three-layer homogeneous Fat Tree.
From "A scalable, commodity data center network architecture, M. Fares et
al. SIGCOMM 2008."
'''
LAYER_CORE = 0
LAYER_AGG = 1
LAYER_EDGE = 2
LAYER_HOST = 3
class FatTreeNodeID(NodeID):
'''Fat Tree-specific node.'''
def __init__(self, pod = 0, sw = 0, host = 0, dpid = None, name = None):
'''Create FatTreeNodeID object from custom params.
Either (pod, sw, host) or dpid must be passed in.
@param pod pod ID
@param sw switch ID
@param host host ID
@param dpid optional dpid
@param name optional name
'''
if dpid:
self.pod = (dpid & 0xff0000) >> 16
self.sw = (dpid & 0xff00) >> 8
self.host = (dpid & 0xff)
self.dpid = dpid
elif name:
pod, sw, host = [int(s) for s in name.split('_')]
self.pod = pod
self.sw = sw
self.host = host
self.dpid = (pod << 16) + (sw << 8) + host
else:
self.pod = pod
self.sw = sw
self.host = host
self.dpid = (pod << 16) + (sw << 8) + host
def __str__(self):
return "(%i, %i, %i)" % (self.pod, self.sw, self.host)
def name_str(self):
'''Return name string'''
return "%i_%i_%i" % (self.pod, self.sw, self.host)
def mac_str(self):
'''Return MAC string'''
return "00:00:00:%02x:%02x:%02x" % (self.pod, self.sw, self.host)
def ip_str(self):
'''Return IP string'''
return "10.%i.%i.%i" % (self.pod, self.sw, self.host)
"""
def _add_port(self, src, dst):
'''Generate port mapping for new edge.
Since Node IDs are assumed hierarchical and unique, we don't need to
maintain a port mapping. Instead, compute port values directly from
node IDs and topology knowledge, statelessly, for calls to self.port.
@param src source switch DPID
@param dst destination switch DPID
'''
pass
"""
def def_nopts(self, layer, name = None):
'''Return default dict for a FatTree topo.
@param layer layer of node
@param name name of node
@return d dict with layer key/val pair, plus anything else (later)
'''
d = {'layer': layer}
if name:
id = self.id_gen(name = name)
# For hosts only, set the IP
if layer == self.LAYER_HOST:
d.update({'ip': id.ip_str()})
d.update({'mac': id.mac_str()})
d.update({'dpid': "%016x" % id.dpid})
return d
def __init__(self, k = 4, speed = 1.0):
'''Init.
@param k switch degree
@param speed bandwidth in Gbps
'''
core = StructuredNodeSpec(0, k, None, speed, type_str = 'core')
agg = StructuredNodeSpec(k / 2, k / 2, speed, speed, type_str = 'agg')
edge = StructuredNodeSpec(k / 2, k / 2, speed, speed,
type_str = 'edge')
host = StructuredNodeSpec(1, 0, speed, None, type_str = 'host')
node_specs = [core, agg, edge, host]
edge_specs = [StructuredEdgeSpec(speed)] * 3
super(FatTreeTopo, self).__init__(node_specs, edge_specs)
self.k = k
self.id_gen = FatTreeTopo.FatTreeNodeID
self.numPods = k
self.aggPerPod = k / 2
pods = range(0, k)
core_sws = range(1, k / 2 + 1)
agg_sws = range(k / 2, k)
edge_sws = range(0, k / 2)
hosts = range(2, k / 2 + 2)
for p in pods:
for e in edge_sws:
edge_id = self.id_gen(p, e, 1).name_str()
edge_opts = self.def_nopts(self.LAYER_EDGE, edge_id)
self.addSwitch(edge_id, **edge_opts)
for h in hosts:
host_id = self.id_gen(p, e, h).name_str()
host_opts = self.def_nopts(self.LAYER_HOST, host_id)
self.addHost(host_id, **host_opts)
self.addLink(host_id, edge_id)
for a in agg_sws:
agg_id = self.id_gen(p, a, 1).name_str()
agg_opts = self.def_nopts(self.LAYER_AGG, agg_id)
self.addSwitch(agg_id, **agg_opts)
self.addLink(edge_id, agg_id)
for a in agg_sws:
agg_id = self.id_gen(p, a, 1).name_str()
c_index = a - k / 2 + 1
for c in core_sws:
core_id = self.id_gen(k, c_index, c).name_str()
core_opts = self.def_nopts(self.LAYER_CORE, core_id)
self.addSwitch(core_id, **core_opts)
self.addLink(core_id, agg_id)
def port(self, src, dst):
'''Get port number (optional)
Note that the topological significance of DPIDs in FatTreeTopo enables
this function to be implemented statelessly.
@param src source switch DPID
@param dst destination switch DPID
@return tuple (src_port, dst_port):
src_port: port on source switch leading to the destination switch
dst_port: port on destination switch leading to the source switch
'''
src_layer = self.layer(src)
dst_layer = self.layer(dst)
src_id = self.id_gen(name = src)
dst_id = self.id_gen(name = dst)
LAYER_CORE = 0
LAYER_AGG = 1
LAYER_EDGE = 2
LAYER_HOST = 3
if src_layer == LAYER_HOST and dst_layer == LAYER_EDGE:
src_port = 0
dst_port = (src_id.host - 2) * 2 + 1
elif src_layer == LAYER_EDGE and dst_layer == LAYER_CORE:
src_port = (dst_id.sw - 2) * 2
dst_port = src_id.pod
elif src_layer == LAYER_EDGE and dst_layer == LAYER_AGG:
src_port = (dst_id.sw - self.k / 2) * 2
dst_port = src_id.sw * 2 + 1
elif src_layer == LAYER_AGG and dst_layer == LAYER_CORE:
src_port = (dst_id.host - 1) * 2
dst_port = src_id.pod
elif src_layer == LAYER_CORE and dst_layer == LAYER_AGG:
src_port = dst_id.pod
dst_port = (src_id.host - 1) * 2
elif src_layer == LAYER_AGG and dst_layer == LAYER_EDGE:
src_port = dst_id.sw * 2 + 1
dst_port = (src_id.sw - self.k / 2) * 2
elif src_layer == LAYER_CORE and dst_layer == LAYER_EDGE:
src_port = dst_id.pod
dst_port = (src_id.sw - 2) * 2
elif src_layer == LAYER_EDGE and dst_layer == LAYER_HOST:
src_port = (dst_id.host - 2) * 2 + 1
dst_port = 0
else:
raise Exception("Could not find port leading to given dst switch")
# Shift by one; as of v0.9, OpenFlow ports are 1-indexed.
if src_layer != LAYER_HOST:
src_port += 1
if dst_layer != LAYER_HOST:
dst_port += 1
return (src_port, dst_port)