Thermal aware scheduling on distributed computing water heaters

Combining computation and water warming is an efficient alternative for recycling dissipated energy. Based on a set of Computing Water Heaters, used as a distributed super computer, we introduce a computing water heater scheduling system that has been validated by simulation on extreme workloads. These simulations lead us to reach an approximate CPU usage of about 60% while minimizing the thermal resistance usage to 10% (only when necessary) on a complex steady state.