saha20/Distributed_IOT_Platform

Distributed IOT platform , where you can register sensors and run your application.

Distributed IOT Platform

Table of Contents

1. About The Project
2. Prerequisites
3. Installation
4. Usage
5. Flow
6. Contact
7. Acknowledgements

About the Project

This is a distributed IoT Platform where algorithm can be developed, this algorithm can use any sensor which are registered on platform. This sensor can also be registered on the platform by admin/developer.

Screenshot of Dashboard

Screenshot of Microservices Running

Platform Architecture

More Information About Platform Architecture project_documents/group_design_document.pdf

Built With

• Bootstrap
• Python3
• Flask
• Kafka
• Docker

Installation

1. Set Up Free MongoDB Service at MongoDB
2. Clone the repo

   git clone https://github.com/saha20/Distributed_IOT_Platform

3. Install docker Guide available at Docker Installation

Running

1. For Windows python bootstrap_windows.py
2. For Linux python3 bootstrap_linux.py

Running Individual Containers

1. cd into service folder
2. sudo docker build --tag app_ui_docker .
3. sudo docker run --name app_ui_docker_v1 -p port_no:port_no app_ui_docker

Running by Downloading Images from Docker Hub

use this space for guide to download images and running directly from docker hub

Ports used by different modules

1. kafka : 9092
2. zookeeper : 2181
3. app-ui : 9999
4. app_repo : 7007
5. deployer : 5001
6. service_lm : 8089
7. scheduler :13337
8. load_balancer : 55555
9. sensor_manager : 5050
10. instance_reg_port : 7072
11. catalogue_reg_port : 7071
12. fault_tolerance : 6969
13. worker_nodes : 5000

Usage

Use this space to show useful examples of how a project can be used. Additional screenshots, code examples and demos work well in this space. You may also link to more resources.

Flow

Use this space to show the flow of application

app_ui (user gives reuqest) scheduler( sends request.json to deployer) deployer (extracts app details and go to app_repo) app_repo (to get config file) back to deployer load_balancer( get worker node) back to deployer sensor__manager( to get temp topic)

Some Useful Commands

1. stopping all images running sudo docker stop $(sudo docker ps -aq) (remove sudo for windows)
2. removing all images running sudo docker rm $(sudo docker ps -aq) (remove sudo for windows)
3. copying files/folder from localost to docker container docker cp Deployer Service.py deployer:/path_insisde_container/
4. stopping zookeper sudo service stop zookeper
5. Finding service running on port 2181 sudo lsof -i:2181
6. Exec into container sudo docker exec -it worker_node_2 sh
7. Removing all container, images, network that are dangling docker system prune