Carbon-aware forecasting-enabled scheduling architecture for AI workloads in sustainable distributed systems
Artificial intelligence (AI) workloads are rapidly increasing energy demand across distributed cloud and edge computing infrastructures. Existing carbon-aware scheduling studies often focus on optimisation strategies, with limited integration between workload telemetry, forecasting, and deployable scheduling architectu...