abstract
- Investigates reducing workflow-related carbon emissions while meeting deadlines on heterogeneous computing resources. After establishing computational hardness, the authors propose the CWM mapping and scheduling algorithm, combining dynamic programming with heuristics. Experiments compare it with CaWoSched and report lower carbon costs.