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How to Squeeze a 1024-node OpenFlow Network onto your Laptop
(Extremely Experimental Development Version 0.1, December 2009)
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Mininet creates simple OpenFlow test networks by using process-based
virtualization and network namespaces.
Simulated hosts (as well as switches and controllers with the user
datapath) are created as processes in separate network namespaces. This
allows a complete OpenFlow network to be simulated on top of a single
Linux kernel.
Mininet provides a set of Python classes and functions which enable
creation of OpenFlow networks of varying sizes and topologies.
In order to run Mininet, you must have:
* A Linux 2.6.26 or greater kernel compiled with network namespace support
* The OpenFlow reference implementation (either the user or kernel
datapath may be used, and the tun or ofdatapath kernel modules must be
loaded, respectively)
* Root privileges (required for network device access)
* The netns program (included as netns.c), or an equivalent program
of the same name, installed in an appropriate path location
* mininet.py installed in an appropriate Python path location
- A simple node infrastructure (Host, Switch, Controller classes) for
- A simple network infrastructure (class Network and its descendants
TreeNet, GridNet and LinearNet) for creating scalable topologies and
running experiments (e.g. TreeNet(2,3).run(pingTest) )
- Some simple tests which can be run using someNetwork.run( test )
- A simple command-line interface which may be invoked on a network using
.run( Cli )
- A 'cleanup' script to get rid of junk (interfaces, processes, etc.)
which might be left around by mininet. Try this if things stop
- Examples (in examples/ directory) to help you get started.
Batteries are not included (yet!)
However, some preliminary installation notes are included in the INSTALL
file. Good luck!