Computing for a Sustainable Future

The proposed computing infrastructure improves resource utilization while preserving predictable application performance under changing workload demand.

Flexible workloads can be shifted toward periods with greater renewable electricity availability, reducing dependence on carbon-intensive generation.

Our system introduces a scheduling architecture that coordinates heterogeneous resources and exposes a lightweight interface to applications.

Carbon-aware operation can lower emissions without requiring users to manually reason about regional grid conditions.

Improved utilization reduces wasted compute capacity and can delay the need for additional physical infrastructure.

Automation reduces repetitive operational work and enables teams to spend more time on higher-value engineering tasks.

Distributed sensing and computation can support more adaptive and efficient urban infrastructure.