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Software Defined Networking

Implementation of 2 apps using Mininet as a Virtual Network Simulator and OpenDaylight Software-Defined-Networking Controller.

Table of Contents

Project Summary

The Team

Task Separation

The Stack

Tools Used

How to install

How to run

Applications

    Network Creation

    Network Overview

    Flow Creation

    Network Deletion

Our project consists of a react frontend and a flask (python) backend, communicating via custom RESTful API. The react frontend retrieves information from OpenDaylight via its own API to visually display it, while the backend interacts with OpenDaylight by both retrieving and sending data. Furthermore, the backend is responsible for the more sophisticated tasks, regarding network manipulation (e.g. Mininet Virtual Network Creation-Ping-Deletion, Custom Network Flows Creation-Evaluation-Deletion), triggered by frontend requests. On frontend start, checks are performed to determine whether a network already exists by asking backend about the status. If not, you will be redirected to a network creation form.

Ioannis Papadopoulos

Ioannis Lamprou

Dimitris Gangas

Nemanja Nedic

Ioannis Papadopoulos - Ioannis Lamprou

Worked on implementing the whole UI interface, the front-end part of Network applications (Network Creation and Deletion, Network Overview, Flow Creation) using the ReactJS framework. Learned how to use the Mininet and OpenDaylight APIs through extensive search in the respective documentation.

Dimitris Gangas - Nemanja Nedic

Worked on implementing the back-end part of Network applications(Network Creation and Deletion, Network Overview, Flow Creation) using Python 2.7 & Flask micro web framework.

The final documentation, network experimentation and testing was done by all team members.

stack image

  • React: Router, d3 (for graph visualization), reactstrap (for UI/UX), axios (for HTTP requests)
  • Python 2.7: Flask (micro web framework), Mininet (library)
  • After mininet and OpenDaylight installation,

    cd net-man-app && sudo npm install

    cd net-man-backend && sudo pip install -r requirements.txt

    In this sequence:

    export TERM=exterm-color

    ./distribution-karaf-0.5.4-Boron-SR4/bin/karaf –of13

    sudo python2 backend.py

    cd net-man-app && sudo npm start

    Navigate to:

    http://localhost:3000

    Login to OpenDaylight: (optional)

    localhost:8181/index.html

    user: admin

    pass: admin

    Description:

    A graphical Mininet network creation interface, built by react framework, providing many different network options through a web form, making the creation and deletion of networks effortless, so that our Network Applications (Network Overview, Flows Creation) can be used on a wide range of possible network instances.

    How to use it:

    Select the network properties or just press default values.
    This demo shows how to create a network on the app: alt text

    NOTE: Djikstra is pointless for a Linear Network, so if you want to inspect that functionality don't choose Linear.
    NOTE: If tree topology is selected, it might take some time to create the network since the network size increases exponentially based on the input parameters. We suggest that for demo purposes you select a smaller network tree or just leave the default values.

    How it works:

    The network is created with this command Mininet(topo=topology, controller=controller, switch=switch, autoSetMacs=mac, waitConnected=True) by the backend using the mininet python lib, based on the parameters passed from our frontend, via our RESTful custom API. (a POST request is sent to the backend /network.)

    As soon as the network is created it is started and a net.pingAll() is called along with mininet.util.dumpNodeConnections(net.hosts) so that we establish all new connections.

    NOTE: Before any network instance creation, in case the backend was abruptly stopped, possible previous network clutter is cleaned with a call to sudo mn -c and any leftover flows from a previous sessions will be deleted via the OpenDaylight API.

    Description:

    An interactive, fully clickable custom graph, visualizing a created Mininet network, which serves extensive information for each host, switch or link, and overall network statistics on side panels, provided by the Opendaylight API.

    How to use it:

    This is a demo of the Network Overview app and the stastistics it provides: alt text

    If the user clicks on any host, switch or link, both on the graph or the side panel, information relevant to that selection takes their place. This way, the user can focus on the network as a whole as well as have access to more specialized node information.

    NOTE: Rx: # received, Tx: # transmitted

    How it works:

    After retrieving the needed network data from OpenDaylight via its API, and the data is proccessed and transformed properly, it is passed to react-d3 to be visually displayed. All additional information about hosts, switches and links are stored in a react state. Using on-click listeners and handlers information and statistics about the current status of the network are retrieved and presented.

    Why we chose it:

    Our line of thought for building this App, was that the existing network visualisation interface provided by Opendaylight was somewhat difficult to navigate, spanning multiple pages and ultimately not communicating the whole range of information available, so we thought it would be a good idea to expand it, making it more intuitive and user friendly, especially for users without previous relative experience with network management.

    Description:

    A Flow creation tool, which after prompting the user to pick two hosts from a graphical representation of a created Mininet network, calculates the shortest path between the chosen nodes using the Dijkstra algorithm, then proceeds to impose flows, based on that path.

    How to use it:

    alt text

    How it works:

    Frontend sends a POST request to /shortest_path.
    Backend answers to that request with a list of node-ids that represent the shortest path.
    The Frontend then displays the shortest path with a blue line on the topo-graph and then sends a POST request to /flows in order to create the necessary flows.
    The backend then calls /restconf/config/opendaylight-inventory:nodes/node/{{openflow_id}}/table/{{table_id}}/flow/{{flow_id}}

    with:

    {'flow': [{
            'id': flow_id,
            'match': {'ethernet-match': {'ethernet-source': {'address': src_mac_address},
                                         'ethernet-destination': {'address': dest_mac_address},
                                         'ethernet-type': {'type': '0x800'}}},
            'instructions': {'instruction': [
                {'apply-actions': {'action': [{'output-action': {'output-node-connector': port_number}, 'order': '1'}]},
                 'order': '1'}]},
            'installHw': 'false',
            'table_id': table_id}]}
    

    In order to create the new flow.

    Why we chose it:

    Our reasoning for choosing to implement this application is that as making packet transfers as fast and effective as possible is a fundamental networking element, it would be interesting to measure and compare transfer times with and without the use of flows and ultimately determine how much of an improvement the addition of flows is for the given network.

    alt text

    alt text

    How to use it:

    alt text

    How it works:

    Front sends DELETE request to /network.
    Backend then deletes all flows that we created (kept in global gflows_list).
    Network is stopped global_net.stop() and {'msg': 'Network Stopped'} is returned.

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