def create_topology1():
# create topology
net = DCNetwork(controller=RemoteController, monitor=False, enable_learning = False)
dc1 = net.addDatacenter("dc1")
dc2 = net.addDatacenter("dc2")
s1 = net.addSwitch("s1")
net.addLink(dc1, s1, delay="10ms")
net.addLink(dc2, s1, delay="20ms")
# add the command line interface endpoint to each DC
zapi1 = ZeroRpcApiEndpoint("0.0.0.0", 4242)
zapi1.connectDatacenter(dc1)
zapi1.connectDatacenter(dc2)
# run API endpoint server (in another thread, don't block)
zapi1.start()
# add the SONATA dummy gatekeeper to each DC
sdkg1 = SonataDummyGatekeeperEndpoint("0.0.0.0", 5000)
sdkg1.connectDatacenter(dc1)
sdkg1.connectDatacenter(dc2)
# run the dummy gatekeeper (in another thread, don't block)
sdkg1.start()
# start the emulation platform
net.start()
net.CLI()
net.stop()
def create_topology1():
cleanup()
# create topology
# use a maximum of 50% cpu time for containers added to data centers
net = DCNetwork(dc_emulation_max_cpu=0.5, controller=Controller)
# add some data centers and create a topology
dc1 = net.addDatacenter("dc1", resource_log_path=RESOURCE_LOG_PATH)
dc2 = net.addDatacenter("dc2", resource_log_path=RESOURCE_LOG_PATH)
s1 = net.addSwitch("s1")
net.addLink(dc1, s1, delay="10ms")
net.addLink(dc2, s1, delay="20ms")
# create and assign resource models for each DC
rm1 = UpbSimpleCloudDcRM(max_cu=4, max_mu=1024)
rm2 = UpbOverprovisioningCloudDcRM(max_cu=4)
dc1.assignResourceModel(rm1)
dc2.assignResourceModel(rm2)
# add the command line interface endpoint to each DC
zapi1 = ZeroRpcApiEndpoint("0.0.0.0", 4242)
zapi1.connectDatacenter(dc1)
zapi1.connectDatacenter(dc2)
# run API endpoint server (in another thread, don't block)
zapi1.start()
# start the emulation platform
net.start()
print "Wait a moment and allocate some compute start some compute resources..."
time.sleep(2)
dc1.startCompute("vnf1")
dc1.startCompute("vnf2", flavor_name="tiny")
dc1.startCompute("vnf3", flavor_name="small")
dc2.startCompute("vnf4", flavor_name="medium")
dc2.startCompute("vnf5", flavor_name="medium")
dc2.startCompute("vnf6", flavor_name="medium")
print "... done."
time.sleep(5)
print "Removing instances ..."
dc1.stopCompute("vnf1")
dc2.stopCompute("vnf4")
print "... done"
net.CLI()
net.stop()
def create_topology1():
cleanup()
# create topology
# use a maximum of 50% cpu time for containers added to data centers
net = DCNetwork(dc_emulation_max_cpu=0.5, controller=Controller)
# add some data centers and create a topology
dc1 = net.addDatacenter("dc1", resource_log_path=RESOURCE_LOG_PATH)
dc2 = net.addDatacenter("dc2", resource_log_path=RESOURCE_LOG_PATH)
s1 = net.addSwitch("s1")
net.addLink(dc1, s1, delay="10ms")
net.addLink(dc2, s1, delay="20ms")
# create and assign resource models for each DC
rm1 = UpbSimpleCloudDcRM(max_cu=4, max_mu=1024)
rm2 = UpbOverprovisioningCloudDcRM(max_cu=4)
dc1.assignResourceModel(rm1)
dc2.assignResourceModel(rm2)
# add the command line interface endpoint to each DC
zapi1 = ZeroRpcApiEndpoint("0.0.0.0", 4242)
zapi1.connectDatacenter(dc1)
zapi1.connectDatacenter(dc2)
# run API endpoint server (in another thread, don't block)
zapi1.start()
# start the emulation platform
net.start()
print "Wait a moment and allocate some compute start some compute resources..."
time.sleep(2)
dc1.startCompute("vnf1")
dc1.startCompute("vnf2", flavor_name="tiny")
dc1.startCompute("vnf3", flavor_name="small")
dc2.startCompute("vnf4", flavor_name="medium")
dc2.startCompute("vnf5", flavor_name="medium")
dc2.startCompute("vnf6", flavor_name="medium")
print "... done."
time.sleep(5)
print "Removing instances ..."
dc1.stopCompute("vnf1")
dc2.stopCompute("vnf4")
print "... done"
net.CLI()
net.stop()
def create_topology1():
"""
1. Create a data center network object (DCNetwork) with monitoring enabled
"""
net = DCNetwork(monitor=True, enable_learning=False)
"""
1b. Add endpoint APIs for the whole DCNetwork,
to access and control the networking from outside.
e.g., to setup forwarding paths between compute
instances aka. VNFs (represented by Docker containers), passing through
different switches and datacenters of the emulated topology
"""
mon_api = ZeroRpcApiEndpointDCNetwork("0.0.0.0", 5151)
mon_api.connectDCNetwork(net)
mon_api.start()
"""
2. Add (logical) data centers to the topology
(each data center is one "bigswitch" in our simplified
first prototype)
"""
dc1 = net.addDatacenter("datacenter1")
dc2 = net.addDatacenter("datacenter2")
#dc3 = net.addDatacenter("long_data_center_name3")
#dc4 = net.addDatacenter(
# "datacenter4",
# metadata={"mydata": "we can also add arbitrary metadata to each DC"})
"""
3. You can add additional SDN switches for data center
interconnections to the network.
"""
s1 = net.addSwitch("s1")
"""
4. Add links between your data centers and additional switches
to define you topology.
These links can use Mininet's features to limit bw, add delay or jitter.
"""
#net.addLink(dc1, dc2, delay="10ms")
#net.addLink(dc1, dc2)
net.addLink(dc1, s1)
net.addLink(s1, dc2)
#net.addLink("datacenter1", s1, delay="20ms")
#net.addLink(s1, dc3)
#net.addLink(s1, "datacenter4")
"""
5. We want to access and control our data centers from the outside,
e.g., we want to connect an orchestrator to start/stop compute
resources aka. VNFs (represented by Docker containers in the emulated)
So we need to instantiate API endpoints (e.g. a zerorpc or REST
interface). Depending on the endpoint implementations, we can connect
one or more data centers to it, which can then be controlled through
this API, e.g., start/stop/list compute instances.
"""
# create a new instance of a endpoint implementation
zapi1 = ZeroRpcApiEndpoint("0.0.0.0", 4242)
# connect data centers to this endpoint
zapi1.connectDatacenter(dc1)
zapi1.connectDatacenter(dc2)
#zapi1.connectDatacenter(dc3)
#zapi1.connectDatacenter(dc4)
# run API endpoint server (in another thread, don't block)
zapi1.start()
"""
5.1. For our example, we create a second endpoint to illustrate that
this is supported by our design. This feature allows us to have
one API endpoint for each data center. This makes the emulation
environment more realistic because you can easily create one
OpenStack-like REST API endpoint for *each* data center.
This will look like a real-world multi PoP/data center deployment
from the perspective of an orchestrator.
"""
#zapi2 = ZeroRpcApiEndpoint("0.0.0.0", 4343)
#zapi2.connectDatacenter(dc3)
#zapi2.connectDatacenter(dc4)
#zapi2.start()
"""
6. Finally we are done and can start our network (the emulator).
We can also enter the Mininet CLI to interactively interact
with our compute resources (just like in default Mininet).
But we can also implement fully automated experiments that
can be executed again and again.
"""
net.start()
net.CLI()
# when the user types exit in the CLI, we stop the emulator
net.stop()
def create_topology1():
"""
1. Create a data center network object (DCNetwork)
"""
net = DCNetwork(monitor=True, enable_learning=True)
"""
1b. add a monitoring agent to the DCNetwork
"""
#keep old zeroRPC interface to test the prometheus metric query
mon_api = ZeroRpcApiEndpointDCNetwork("0.0.0.0", 5151)
mon_api.connectDCNetwork(net)
mon_api.start()
"""
2. Add (logical) data centers to the topology
(each data center is one "bigswitch" in our simplified
first prototype)
"""
dc1 = net.addDatacenter("dc1")
dc2 = net.addDatacenter("dc2")
dc3 = net.addDatacenter("long_data_center_name3")
dc4 = net.addDatacenter(
"dc4",
metadata={"mydata": "we can also add arbitrary metadata to each DC"})
"""
3. You can add additional SDN switches for data center
interconnections to the network.
"""
s1 = net.addSwitch("s1")
"""
4. Add links between your data centers and additional switches
to define you topology.
These links can use Mininet's features to limit bw, add delay or jitter.
"""
net.addLink(dc1, dc2)
net.addLink("dc1", s1)
net.addLink(s1, dc3)
net.addLink(s1, "dc4")
"""
5. We want to access and control our data centers from the outside,
e.g., we want to connect an orchestrator to start/stop compute
resources aka. VNFs (represented by Docker containers in the emulated)
So we need to instantiate API endpoints (e.g. a zerorpc or REST
interface). Depending on the endpoint implementations, we can connect
one or more data centers to it, which can then be controlled through
this API, e.g., start/stop/list compute instances.
"""
# keep the old zeroRPC interface for the prometheus metric query test
zapi1 = ZeroRpcApiEndpoint("0.0.0.0", 4242)
# connect data centers to this endpoint
zapi1.connectDatacenter(dc1)
zapi1.connectDatacenter(dc2)
# run API endpoint server (in another thread, don't block)
zapi1.start()
# create a new instance of a endpoint implementation
api1 = RestApiEndpoint("127.0.0.1", 5001)
# connect data centers to this endpoint
api1.connectDatacenter(dc1)
api1.connectDatacenter(dc2)
api1.connectDatacenter(dc3)
api1.connectDatacenter(dc4)
# connect total network also, needed to do the chaining and monitoring
api1.connectDCNetwork(net)
# run API endpoint server (in another thread, don't block)
api1.start()
"""
6. Finally we are done and can start our network (the emulator).
We can also enter the Mininet CLI to interactively interact
with our compute resources (just like in default Mininet).
But we can also implement fully automated experiments that
can be executed again and again.
"""
net.start()
net.CLI()
# when the user types exit in the CLI, we stop the emulator
net.stop()
def create_topology1():
"""
1. Create a data center network object (DCNetwork) with monitoring enabled
"""
net = DCNetwork(monitor=True, enable_learning=False)
"""
1b. Add endpoint APIs for the whole DCNetwork,
to access and control the networking from outside.
e.g., to setup forwarding paths between compute
instances aka. VNFs (represented by Docker containers), passing through
different switches and datacenters of the emulated topology
"""
# create monitoring api endpoint for backwards compatibility with zerorpc api
mon_api = ZeroRpcApiEndpointDCNetwork("0.0.0.0", 5151)
mon_api.connectDCNetwork(net)
mon_api.start()
"""
2. Add (logical) data centers to the topology
(each data center is one "bigswitch" in our simplified
first prototype)
"""
dc1 = net.addDatacenter("datacenter1")
dc2 = net.addDatacenter("datacenter2")
"""
3. You can add additional SDN switches for data center
interconnections to the network.
"""
s1 = net.addSwitch("s1")
"""
4. Add links between your data centers and additional switches
to define you topology.
These links can use Mininet's features to limit bw, add delay or jitter.
"""
net.addLink(dc1, s1)
net.addLink(s1, dc2)
"""
5. We want to access and control our data centers from the outside,
e.g., we want to connect an orchestrator to start/stop compute
resources aka. VNFs (represented by Docker containers in the emulated)
So we need to instantiate API endpoints (e.g. a zerorpc or REST
interface). Depending on the endpoint implementations, we can connect
one or more data centers to it, which can then be controlled through
this API, e.g., start/stop/list compute instances.
"""
# keep the old zeroRPC interface for the prometheus metric query test
zapi1 = ZeroRpcApiEndpoint("0.0.0.0", 4242)
# connect data centers to this endpoint
zapi1.connectDatacenter(dc1)
zapi1.connectDatacenter(dc2)
# run API endpoint server (in another thread, don't block)
zapi1.start()
# create a new instance of a endpoint implementation
# the restapi handles all compute, networking and monitoring commands in one api endpoint
api1 = RestApiEndpoint("0.0.0.0", 5001)
# connect data centers to this endpoint
api1.connectDatacenter(dc1)
api1.connectDatacenter(dc2)
# connect total network also, needed to do the chaining and monitoring
api1.connectDCNetwork(net)
# run API endpoint server (in another thread, don't block)
api1.start()
"""
5.1. For our example, we create a second endpoint to illustrate that
this is supported by our design. This feature allows us to have
one API endpoint for each data center. This makes the emulation
environment more realistic because you can easily create one
OpenStack-like REST API endpoint for *each* data center.
This will look like a real-world multi PoP/data center deployment
from the perspective of an orchestrator.
"""
#zapi2 = ZeroRpcApiEndpoint("0.0.0.0", 4343)
#zapi2.connectDatacenter(dc3)
#zapi2.connectDatacenter(dc4)
#zapi2.start()
"""
6. Finally we are done and can start our network (the emulator).
We can also enter the Mininet CLI to interactively interact
with our compute resources (just like in default Mininet).
But we can also implement fully automated experiments that
can be executed again and again.
"""
net.start()
net.CLI()
# when the user types exit in the CLI, we stop the emulator
net.stop()
def create_topology1():
"""
1. Create a data center network object (DCNetwork)
"""
net = DCNetwork(monitor=True, enable_learning=True)
"""
1b. add a monitoring agent to the DCNetwork
"""
#keep old zeroRPC interface to test the prometheus metric query
mon_api = ZeroRpcApiEndpointDCNetwork("0.0.0.0", 5151)
mon_api.connectDCNetwork(net)
mon_api.start()
"""
2. Add (logical) data centers to the topology
(each data center is one "bigswitch" in our simplified
first prototype)
"""
dc1 = net.addDatacenter("datacenter1")
dc2 = net.addDatacenter("datacenter2")
dc3 = net.addDatacenter("long_data_center_name3")
dc4 = net.addDatacenter(
"datacenter4",
metadata={"mydata": "we can also add arbitrary metadata to each DC"})
"""
3. You can add additional SDN switches for data center
interconnections to the network.
"""
s1 = net.addSwitch("s1")
"""
4. Add links between your data centers and additional switches
to define you topology.
These links can use Mininet's features to limit bw, add delay or jitter.
"""
net.addLink(dc1, dc2)
net.addLink("datacenter1", s1)
net.addLink(s1, dc3)
net.addLink(s1, "datacenter4")
"""
5. We want to access and control our data centers from the outside,
e.g., we want to connect an orchestrator to start/stop compute
resources aka. VNFs (represented by Docker containers in the emulated)
So we need to instantiate API endpoints (e.g. a zerorpc or REST
interface). Depending on the endpoint implementations, we can connect
one or more data centers to it, which can then be controlled through
this API, e.g., start/stop/list compute instances.
"""
# keep the old zeroRPC interface for the prometheus metric query test
zapi1 = ZeroRpcApiEndpoint("0.0.0.0", 4242)
# connect data centers to this endpoint
zapi1.connectDatacenter(dc1)
zapi1.connectDatacenter(dc2)
# run API endpoint server (in another thread, don't block)
zapi1.start()
# create a new instance of a endpoint implementation
api1 = RestApiEndpoint("127.0.0.1", 5001)
# connect data centers to this endpoint
api1.connectDatacenter(dc1)
api1.connectDatacenter(dc2)
api1.connectDatacenter(dc3)
api1.connectDatacenter(dc4)
# connect total network also, needed to do the chaining and monitoring
api1.connectDCNetwork(net)
# run API endpoint server (in another thread, don't block)
api1.start()
"""
6. Finally we are done and can start our network (the emulator).
We can also enter the Mininet CLI to interactively interact
with our compute resources (just like in default Mininet).
But we can also implement fully automated experiments that
can be executed again and again.
"""
net.start()
net.CLI()
# when the user types exit in the CLI, we stop the emulator
net.stop()
