Designing and implementing a private cloud for student and faculty software projects

Abstract: Designing, building, and implementing a private cloud hosting solution can be challenging. This report aims to unify research in multiple areas within cloud hosting to simplify the process by presenting a comprehensive ground-up approach. The proposed approach includes methods used to decide which models and paradigms to be used, such as abstraction level and infrastructure scale. A step-by-step guide is presented, with all considerations made along the way. The result is a platform accessible from a web browser or through a command-line interface and hosts services such as servers for machine learning and containerized applications in Kubernetes. Further work includes increasing the abstraction layer and enabling hardware enrollment over the network. Moreover, whether this implementation will scale in an intended way remains to be examined.