SUstainable and high PErformance COMputing platform Research & Development testbed.
R&D Architecture |
steps:
- setup full testbed
- use RaspberryPis to emulate edge nodes
- send gathered data using Python script and target specific edge nodes (emulation of vehicle moving between base stations)
- test centralized vs edge computation vs federated learning
- query and save Kepler stats (CPU,RAM usage + CO2 estimation) from Prometheus
- query and save measurements and predictions from Prometheus
- make screenshots: Grafana, Testbed environment
- make pictures of used HW (RaspberyPis, workstation, SUPERCOM servers rack?)