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probr-analysis: analysis webapp for probr

This is the analysis application for the probr WiFi tracking system

It is a master student research project at the Communication Systems Group of the Department of Informatics, at the University of Zurich, Switzerland.

probr-analysis

The probr-analysis web application allows its users to inspect and analyze the data collected by the probr-core sniffing component. It connects to the MongoDB being fed by probr-core. Probr-analysis not only displays the data in a dashboard-like fashion, but also aggregates and computes interesting analytic results through techniques such as MapReduce.

Technology

To build and run the application you will need:

• NodeJS version 0.10
• NPM
• Bower
• MongoDB
• Redis

Also, to have the best user experience, including live modes and analysis, you should have a running set-up of probr-core, as described here.

Getting started

Make sure probr-core runs and collects data.

Make sure your mongo deamon runs:

mongod &

Also, start your redis server:

redis-server &

After cloning the repo and going into the probr-analysis directory:

npm install

After the installation of the npm dependencies has finished, install the bower dependencies:

bower install

These steps will also install Grunt. Our project comes with preconfigured grunt tasks, so you can run:

grunt build

To start the application, run:

grunt serve

The application should now be reachable under http://localhost:9000.