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Thermal aware scheduling on distributed computing water heaters

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Abstract

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.
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Dates and versions

hal-01671728 , version 1 (22-12-2017)

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Issam Raïs, Eddy Caron, Laurent Lefèvre. Thermal aware scheduling on distributed computing water heaters. CCNC 2018 - IEEE Consumer Communications & Networking Conference, Jan 2018, Las Vegas, United States. pp.1-4, ⟨10.1109/CCNC.2018.8319253⟩. ⟨hal-01671728⟩
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