Raspberry Pi Cloud Cluster

Raspberry Pi Cloud Cluster

THis project is open to anyone wanting to work with me on building a Raspberry Pi Cloud Cluster. We have 100-200 Raspberry Pis which provide an ideal playground for building your own cluster and explore distributed computing algorithms on real hardware. In this project you would be building a cluster and than putting cloud software on the cluster to make it our own cloud service.

Such software can include but is not limited to

• Docker
• Kubernetwes
• Map/Reduce

When chosing this project one must address the issue of dealing with many compute resources at a time. THis can be done with PXE boot or with our cm-burn.

Students that chose this project will have an office space in the building that I sit. In addition each student will be given a 5 node cluster thay can work at home on (non smoking environment) that must be returned after the project is completed.

cm-burn

cm-burn is a program to burn many SD cards for the preparation of building clusters with Raspberry Pi’s. The program is developed in Python and is portable on Linux, Windows, and OSX. It allows users to create readily bootable SD cards that have the network configured, contain a public ssh key from your machine that you used to configure the cards. The unique feature is that you can burn multiple cards in a row.

A sample command invocation looks like:

cm-burn —-name  red[5-7] \
        --key ~/.ssh/id_rsa.pub \
        —-ips 192.168.1.[5-7] \
        —-image 2018-06-27-raspbian-stretch

This command creates 3 SD cards where the hostnames red5, red6, red 7 with the network addresses 192.168.1.5, 192.168.1.6, and 192.168.1.7. The public key is added to the authorized_keys file of the pi user. The password login is automatically disabled and only the ssh key authentication is enabled.

References

• https://github.com/cloudmesh-community/cm-burn