In this repository, we include a basic example of setting up a graph database for storing Digital Twins' execution traces. Additionally, we compare this approach with one using Redis, a key-value database. We are using a Braccio robotic arm and a Lego Mindstorms NXJ as examples.
This work was presented in the International Workshop on MDE for Smart IoT Systems (MeSS) at STAF 2022 International Conferences. The presentation that we used to introduce our results is available here.
Download a new instance of neo4j. It is recommended to use a Docker container.
- Pull an image from Docker Hub:
docker pull neo4j:latest
- Run a Docker image (either pulled or locally generated):
sudo docker run --name neo4j-database -d --restart always --publish=7474:7474 --publish=7687:7687 --volume=$HOME/neo4j/data:/data --env NEO4J_ACCEPT_LICENSE_AGREEMENT=yes --env NEO4J_AUTH=none neo4j:latest
Download a new instance of redis. It is recommended to use a Docker container.
- Pull an image from Docker Hub:
docker pull redis:latest
- Run a Docker image (either pulled or locally generated):
sudo docker run --name redis-timeless -d --restart always --publish=6379:6379 redis:latest
Run main.py, and it will start the execution and generate a graphic with the corresponding results.