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IoT-Framework Engine

The IoT-Framework is a computational engine for the Internet of Things (IoT). It was developed jointly by Ericsson Research, the Swedish Institute of Computer Science (SICS) and Uppsala University in the scope of Project CS 2013. This repository contains the server side of the system, while IoT-Framework-GUI contains the graphical user interface.

There are is an Ericsson Research blog post that gives a brief intro to what the IoT-Framework is and what can be done using it: A computational engine for the Internet of Things

Moreover, there is a publication which describes the inner workings of the engine along with how to measure its performance. This publication has title "Performance Evaluation of an IoT Platform" and can be found here.


You can check out a demo of the IoT-Framework here: IoT-Framework demo. Please mind that the demo assumes that you are using both the IoT-Framework Engine and the IoT-Framework-GUI.

Installing the project

  1. Download and compile the linux system dependencies, (only needed once per machine)

     make install_linux_deps
  2. Download and compile the project dependencies, and compile the project sources

     make install

Running the project

  1. Run the application by using startup script (one of the commands below)

     make run_all


    sudo ./scripts/ start
  1. Alternative run (type each in separate shells)

     make run_rabbit
     make run_es
     make run_nodejs
     % don't forget to export R_HOME for example
     export R_HOME="/usr/lib/R"
     make run
  2. To shutdown either close each individual shell or run one of the commands below

     make stop_all


     sudo ./scripts/ stop

Running the project via Docker

  1. Retrieve the Dockerfile

  2. Build the docker image

     docker build -t username/image_name:version home_directory
     (or more concretely) docker build -t costa@iot-f:v1 .
  3. Run the image

     docker run -p 8080 -dti username/image_name:version 
     (or more concretely) docker run -p -dti costa@iot-f:v1
  4. Check if the system is running. This command should show if the system is running properly and also the port mapping that has been made for port 8080.

     docker ps

Running tests

  1. There are two ways of setting up the environment for testing. Either run the startup script by one of the below commands.

     make test_setup
     sudo ./scripts/ test_setup
  2. Or run each of the following commands in a separate shell

     make run_rabbit
     make run_es
     make run_nodejs
     make run_fake_resource
  3. Run the tests

     make test

Code Status

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