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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.

Demo

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

or

 sudo ./scripts/sensec.sh 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

    or

     sudo ./scripts/sensec.sh 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/sensec.sh 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

Build Status

About

No description, website, or topics provided.

Resources

Readme
Apache-2.0 license
Activity
Custom properties

Stars

44 stars

Watchers

17 watching

Forks

25 forks
Report repository

Releases

Packages

Contributors

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GitHub - EricssonResearch/iot-framework-engine · GitHub
Skip to content
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Repository files navigation
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.
Demo
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

or
 sudo ./scripts/sensec.sh 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

    or
     sudo ./scripts/sensec.sh 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/sensec.sh 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
Build Status
About
No description, website, or topics provided.
Resources
Readme
Apache-2.0 license
Activity
Custom properties
Stars
44 stars
Watchers
17 watching
Forks
25 forks
Report repository
Releases
Packages
Contributors
Languages

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GitHub - EricssonResearch/iot-framework-engine · GitHub
Skip to content
BranchesTags
Repository files navigation
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.
Demo
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

or
 sudo ./scripts/sensec.sh 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

    or
     sudo ./scripts/sensec.sh 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/sensec.sh 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
Build Status
About
No description, website, or topics provided.
Resources
Readme
Apache-2.0 license
Activity
Custom properties
Stars
44 stars
Watchers
17 watching
Forks
25 forks
Report repository
Releases
Packages
Contributors
Languages

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GitHub - EricssonResearch/iot-framework-engine · GitHub
Skip to content
BranchesTags
Repository files navigation
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.
Demo
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

or
 sudo ./scripts/sensec.sh 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

    or
     sudo ./scripts/sensec.sh 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/sensec.sh 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
Build Status
About
No description, website, or topics provided.
Resources
Readme
Apache-2.0 license
Activity
Custom properties
Stars
44 stars
Watchers
17 watching
Forks
25 forks
Report repository
Releases
Packages
Contributors
Languages

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try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
GitHub - EricssonResearch/iot-framework-engine · GitHub
Skip to content
BranchesTags
Repository files navigation
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.
Demo
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

or
 sudo ./scripts/sensec.sh 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

    or
     sudo ./scripts/sensec.sh 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/sensec.sh 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
Build Status
About
No description, website, or topics provided.
Resources
Readme
Apache-2.0 license
Activity
Custom properties
Stars
44 stars
Watchers
17 watching
Forks
25 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
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(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - EricssonResearch/iot-framework-engine · GitHub
Skip to content
BranchesTags
Repository files navigation
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.
Demo
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

or
 sudo ./scripts/sensec.sh 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

    or
     sudo ./scripts/sensec.sh 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/sensec.sh 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
Build Status
About
No description, website, or topics provided.
Resources
Readme
Apache-2.0 license
Activity
Custom properties
Stars
44 stars
Watchers
17 watching
Forks
25 forks
Report repository
Releases
Packages
Contributors
Languages

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(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - EricssonResearch/iot-framework-engine · GitHub
Skip to content
BranchesTags
Repository files navigation
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.
Demo
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

or
 sudo ./scripts/sensec.sh 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

    or
     sudo ./scripts/sensec.sh 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/sensec.sh 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

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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
(function() {
var enabled = true;
function applyDarkMode() {
if (!enabled) return;
// Create style element if it doesn't exist
var style = document.getElementById('universal-dark-mode-style');
if (!style) {
style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
}
// Dark mode CSS - inverts colors but preserves images/video
style.textContent = '
/* Invert everything except media */
html {
filter: invert(1) hue-rotate(180deg) !important;
background: #1a1a2e !important;
}
/* Restore images, videos, iframes, canvas */
img, video, iframe, canvas, svg, picture, [style*="background-image"] {
filter: invert(1) hue-rotate(180deg) !important;
}
/* Preserve specific elements that should not be inverted */
.no-dark-mode, .no-dark-mode *,
[data-theme="light"], [data-theme="light"],
.ace_editor, .ace_editor *,
.CodeMirror, .CodeMirror *,
.monaco-editor, .monaco-editor *,
.markdown-body pre, .markdown-body pre *,
.highlight, .highlight *,
pre code, pre code * {
filter: none !important;
}
/* Fix common UI elements */
.modal, .popup, .dropdown-menu, .tooltip, .popover {
filter: invert(1) hue-rotate(180deg) !important;
background: #2d2d44 !important;
border-color: #444 !important;
}
/* Scrollbars */
::-webkit-scrollbar { background: #1a1a2e !important; }
::-webkit-scrollbar-thumb { background: #444 !important; }
::-webkit-scrollbar-thumb:hover { background: #555 !important; }
/* Selection */
::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
';
}
function removeDarkMode() {
var style = document.getElementById('universal-dark-mode-style');
if (style) style.remove();
}
// Toggle with Alt+Shift+D
document.addEventListener('keydown', function(e) {
if (e.altKey && e.shiftKey && e.key === 'D') {
e.preventDefault();
enabled = !enabled;
if (enabled) {
applyDarkMode();
console.log('[Universal Dark Mode] Enabled');
} else {
removeDarkMode();
console.log('[Universal Dark Mode] Disabled');
}
}
});
// Apply on load
applyDarkMode();
// Re-apply on dynamic content
var observer = new MutationObserver(function(mutations) {
if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
}
});
observer.observe(document.head, { childList: true });
console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();
GitHub - EricssonResearch/iot-framework-engine · GitHub
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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.
Demo
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

or
 sudo ./scripts/sensec.sh 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

    or
     sudo ./scripts/sensec.sh 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/sensec.sh 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
Build Status
About
No description, website, or topics provided.
Resources
Readme
Apache-2.0 license
Activity
Custom properties
Stars
44 stars
Watchers
17 watching
Forks
25 forks
Report repository
Releases
Packages
Contributors
Languages