AutoLearn: Learning in the Edge to Cloud Continuum

摘要

Technological advancements have led to an increase in teaching the fundamentals of cloud computing, robotics and autonomous systems and their importance, relying on strong hands-on practical experimentation. The National Science Foundation (NSF)-supported testbeds have opened the doors for experimentation and support in the next era of computing platforms and large-scale cloud research. In this paper, we present an educational module that conveys accessibility to education, aiming to prepare learners for technological career paths with the motivation to bring hands-on sessions, and on the idea of building a freely available set of artifacts that can serve the educational community. Specifically, we present AutoLearn: Learning in the Edge to Cloud Continuum, an educational module that integrates a collection of artifacts, based on a small scale open-source self-driving platform that leverages the Chameleon Cloud testbed to teach cloud computing concepts, edge devices technology, and artificial intelligence driven applications.