rpicluster
A distro for a cluster of Raspberry Pis. rpicluster makes it easy to create a cluster of Raspberry Pis. Downloadable images come with a set of tools to aid setup, configuration, and updates. Visit http://rpicluster.com/ for more details.
I invested my time into a big project for the summer with my friend. The goal was relatively simple: create a Raspberry Pi Cluster that is easily distributable, configurable, and intuitive. We demoed the project many times at research events and garnered some attention and won a couple of awards. Eventually, we wanted to see how far it would go as a startup. What if we made a package that just did all the configuration? What if we extend this onto other IoT devices? What if we became millionaires? You know what it became? It became a dream that slowly deterioted because we also forgot that we were unemployed living with our parents.
The project presented some interesting questions during the development phases.
1) How do you run python scripts to build scripts and package an image without unzipping the zip file first?
Turns out there’s a great tool created by the Raspberry Pi Foundation: pi-gen. A fork of this repo allowed us to modify the images to create either an rpicluster server or node image file.
2) How do you network the Pis together to create a scalable cluster? How do we discover the nodes intuitively?
Managing the nodes to support multiple different networking capabilities adds complexity, and turned out to be a huge headache to implement. We eventually designed the startup process to default to a neutral network before allowing the user to select their desired network. A reboot was necessary to ensure the right services started and IPtables were configured correctly.
Files were a little easier with a network up and running.
3) How do I make my WiFi-based cluster unique to another network?
We used a stamping mechanism in the images unique with their username and password of their WiFi network and passing the lengths into a build.
The images turned out small (< 5GB total!), efficient, and usable, so that was a pleasant experience . One day I hope to return to this project.
Take a look at the project: rpicluster
Sup
Software engineer @ LitePoint.