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Thermal aware scheduling on distributed computing water heaters

Issam Raïs 1 Eddy Caron 1, 2, 3 Laurent Lefèvre 1
1 AVALON - Algorithms and Software Architectures for Distributed and HPC Platforms
Inria Grenoble - Rhône-Alpes, LIP - Laboratoire de l'Informatique du Parallélisme
2 ENS Lyon - École normale supérieure - Lyon
3 LIP - Laboratoire de l'Informatique du Parallélisme
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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https://hal.inria.fr/hal-01671728
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Submitted on : Friday, December 22, 2017 - 3:20:41 PM
Last modification on : Saturday, September 11, 2021 - 3:18:11 AM

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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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