Affordable and Energy-Efficient Cloud Computing Clusters: The Bolzano Raspberry Pi Cloud Cluster Experiment
Pekka Abrahamsson, Sven Helmer, Nattakarn Phaphoom, Lorenzo Nicolodi,, Nick Preda, Lorenzo Miori, Matteo Angriman, Juha Rikkila, Xiaofeng Wang,, Karim Hamily, Sara Bugoloni

TL;DR
This paper discusses building a large, affordable, and energy-efficient Raspberry Pi cluster for cloud computing research and mobile data center applications, highlighting setup, configuration, and potential use cases.
Contribution
It introduces the first steps in creating a 300-node Raspberry Pi cluster, addressing hardware setup, system configuration, and monitoring for energy-efficient cloud computing.
Findings
Successfully configured a 300-node Raspberry Pi cluster
Demonstrated potential for low-cost, energy-efficient cloud research
Explored use cases in adverse environments
Abstract
We present our ongoing work building a Raspberry Pi cluster consisting of 300 nodes. The unique characteristics of this single board computer pose several challenges, but also offer a number of interesting opportunities. On the one hand, a single Raspberry Pi can be purchased cheaply and has a low power consumption, which makes it possible to create an affordable and energy-efficient cluster. On the other hand, it lacks in computing power, which makes it difficult to run computationally intensive software on it. Nevertheless, by combining a large number of Raspberries into a cluster, this drawback can be (partially) offset. Here we report on the first important steps of creating our cluster: how to set up and configure the hardware and the system software, and how to monitor and maintain the system. We also discuss potential use cases for our cluster, the two most important being an…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
