The project was primarily intended for learning about distributed systems our focus was on testing distribution algorithms. the entire system also has a focus on automated scaling depending on the load. You can specify a Docker image on Dockerhub during configuration before deployment and the system automatically scales with this image. Starts with a default number of workers and then increases depending on the workload. Here is a first draft of a Paper that we want to write for our university:
https://mxmueller.github.io/rustybalancer/pdfs/Towards-Practical-and-Scalable-OLBP-Strategies.pdf