Bob Lantz
21086cd79e
If we want to observe a monotonic affect, we should make sure that we are in fact CPU limited where it matters. In this case, we are CPU limiting the hosts, and the iperf client uses a lot of CPU. We need to reduce the CPU allocation so that iperf is in fact CPU bound. We also correct the CPU allocation so that the client and server each receive 50% of the total. Previously we were specifying the per-host CPU allocation, so 45% meant we were allocating 90% of the overall CPU, which seems a bit confusing. On the other hand, now at 40% each host gets 20% of the CPU, which could also be considered slightly confusing! Although the client transmit rate is going to be the limiting factor, we still measure the received data rate at the server, because that is more interesting than the initial burst of buffering at the client. Measuring at the server becomes more important as we reduce the iperf time. The output is also changed slightly, and the test has been updated appropriately.
Mininet Examples
These examples are intended to help you get started using Mininet's Python API.
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baresshd.py:
This example uses Mininet's medium-level API to create an sshd process running in a namespace. Doesn't use OpenFlow.
bind.py:
This example shows how you can create private directories for each node in a Mininet topology.
cluster.py:
This example contains all of the code for experimental cluster edition. Remote classes and MininetCluster can be imported from here to create a topology with nodes on remote machines.
clusterSanity.py:
This example runs cluster edition locally as a sanity check to test basic functionality.
clustercli.py:
This example contains a CLI for experimental cluster edition.
clusterdemo.py:
This example is a basic demo of cluster edition on 3 servers with a tree topology of depth 3 and fanout 3.
consoles.py:
This example creates a grid of console windows, one for each node, and allows interaction with and monitoring of each console, including graphical monitoring.
controllers.py:
This example creates a network with multiple controllers, by
using a custom Switch() subclass.
controllers2.py:
This example creates a network with multiple controllers by creating an empty network, adding nodes to it, and manually starting the switches.
controlnet.py:
This examples shows how you can model the control network as well as the data network, by actually creating two Mininet objects.
cpu.py:
This example tests iperf bandwidth for varying CPU limits.
emptynet.py:
This example demonstrates creating an empty network (i.e. with no topology object) and adding nodes to it.
hwintf.py:
This example shows how to add an interface (for example a real hardware interface) to a network after the network is created.
intfoptions.py:
This example reconfigures a TCIntf during runtime with different traffic control commands to test bandwidth, loss, and delay.
limit.py:
This example shows how to use link and CPU limits.
linearbandwidth.py:
This example shows how to create a custom topology programatically by subclassing Topo, and how to run a series of tests on it.
linuxrouter.py:
This example shows how to create and configure a router in Mininet that uses Linux IP forwarding.
miniedit.py:
This example demonstrates creating a network via a graphical editor.
mobility.py:
This example demonstrates detaching an interface from one switch and attaching it another as a basic way to move a host around a network.
multiLink.py:
This example demonstrates the creation of multiple links between nodes using a custom Topology class.
multiping.py:
This example demonstrates one method for
monitoring output from multiple hosts, using node.monitor().
multipoll.py:
This example demonstrates monitoring output files from multiple hosts.
multitest.py:
This example creates a network and runs multiple tests on it.
nat.py:
This example shows how to connect a Mininet network to the Internet
using NAT. It also answers the eternal question "why can't I ping
google.com?"
natnet.py:
This example demonstrates how to create a network using a NAT node to connect hosts to the internet.
numberedports.py:
This example verifies the mininet ofport numbers match up to the ovs port numbers. It also verifies that the port numbers match up to the interface numbers
popen.py:
This example monitors a number of hosts using host.popen() and
pmonitor().
popenpoll.py:
This example demonstrates monitoring output from multiple hosts using
the node.popen() interface (which returns Popen objects) and pmonitor().
scratchnet.py, scratchnetuser.py:
These two examples demonstrate how to create a network by using the lowest- level Mininet functions. Generally the higher-level API is easier to use, but scratchnet shows what is going on behind the scenes.
simpleperf.py:
A simple example of configuring network and CPU bandwidth limits.
sshd.py:
This example shows how to run an sshd process in each host, allowing
you to log in via ssh. This requires connecting the Mininet data network
to an interface in the root namespace (generaly the control network
already lives in the root namespace, so it does not need to be explicitly
connected.)
tree1024.py:
This example attempts to create a 1024-host network, and then runs the
CLI on it. It may run into scalability limits, depending on available
memory and sysctl configuration (see INSTALL.)
treeping64.py:
This example creates a 64-host tree network, and attempts to check full
connectivity using ping, for different switch/datapath types.
vlanhost.py:
An example of how to subclass Host to use a VLAN on its primary interface.