Our code for our assignment can be found at https://github.com/nicolezyi/elec5517-assignment1.git
Setup environment for all tasks:
There are two options to implement our efficient QoS system.
Option 1 - Docker image
- Download our image, and run our image. This image includes ryu controller, mininet and ofsoftswitch13 vSwitch. CLI to download it.
sudo docker pull nicoleyi/ryu-qos-controller
- Use the following command to run the image to make sure you have x11 forwording turn on
docker run -it --privileged -e DISPLAY=$DISPLAY \
-v /tmp/.X11-unix:/tmp/.X11-unix \
-v /lib/modules:/lib/modules \
nicoleyi/ryu-qos-controller
Option 2 - Install Ryu, mininet and ofsoftswitch13 vSwitch manually.
$ sudo apt-get install git python-dev python-setuptools python-pip $ git clone https://github.com/osrg/ryu.git $ cd ryu $ sudo pip install .
sudo apt-get install mininet
https://github.com/CPqD/ofsoftswitch13
Task 1 custom_topo.py is to invoke mininet and setup custom tree topology (3 layer depth and fan out 3 topology) for task 1 and tak 2. injectRules.sh is used to inject the QoS rules and Meter table for all 13 Switches.
#CLI to turn on controller, vSwitch, start mininet with custom topology and inject the rules
ryu-manager ryu.app.rest_qos ryu.app.qos_simple_switch_13
sudo python custom_topo.py
sh injectRules.sh
Task 2 In task 2, in additon to the QoS implementation, we also implement the traffic monitoring for this QoS network.
We also include a sample test results here: port_statistics_sample.txt
ryu-manager ryu.app.rest_qos ryu.app.qos_simple_switch_13 traffic_monitor_all.py
sudo python custom_topo.py
sh injectRules.sh
Task 3 Mobile_vhf_uhf.py is the Python script for task three.
Run "sudo python task.py" after login to Mininet to create the topology with specified configuration.
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