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With the rapid advances in IoT, edge and cloud computing solutions, it iscritical to educate and train students in computer science and engineering invarious aspects of IoT-edge-cloud (IoT-E-C) system architectureimplementations. We outline the design and development of an undergraduatelaboratory course that sets the goal of implementing various interfaces andcommunication protocols to connect IoT, edge and cloud computing systems andevaluating their performance. The lab setup is modular and based on open sourcetools. In the IoT context, it consists of low-cost processing platforms withvarious sensors and actuators. In the edge and cloud computing context, weimplement and deploy single board computers and Firebase cloud solutions,respectively. The modular lab setup allows students to engineer and integratevarious communication protocol solutions, including MQTT, COAP and HTTP. Inaddition to the system implementation, students can evaluate and benchmark theperformance of the entire system.

Engineering an IoT-Edge-Cloud Computing System Architecture: Lessons Learnt from An Undergraduate Lab Course