Edge to Cloud Experiment Pattern
This artifact contains a notebook which guides you through setting an experiment that gathers data from an edge device, and sends it to the cloud for processing via a machine learning model.
What is covered: - Reserving and launching a cloud node - Configuring the cloud node to listen with MQTT. - Reserving an launching a container on an edge device that sends data to the cloud. - Running a machine learning model in the cloud run inference on the edge data. - Downloading and displaying the results from the cloud in a Jupyter notebook.
For questions about CHI@Edge, please contact chi-edge-users.
Launching this artifact will open it within Chameleon’s shared Jupyter experiment environment, which is accessible to all Chameleon users with an active allocation.
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