Shutdown Policies with Power Capping for Large Scale Computing Systems

Anne Benoit 1, 2 Laurent Lefèvre 3 Anne-Cécile Orgerie 4, 5 Issam Raïs 1, 2, 3
1 ROMA - Optimisation des ressources : modèles, algorithmes et ordonnancement
Inria Grenoble - Rhône-Alpes, LIP - Laboratoire de l'Informatique du Parallélisme
3 AVALON - Algorithms and Software Architectures for Distributed and HPC Platforms
Inria Grenoble - Rhône-Alpes, LIP - Laboratoire de l'Informatique du Parallélisme
4 MYRIADS - Design and Implementation of Autonomous Distributed Systems
Inria Rennes – Bretagne Atlantique , IRISA_D1 - SYSTÈMES LARGE ÉCHELLE
Abstract : Large scale distributed systems are expected to consume huge amounts of energy. To solve this issue, shutdown policies constitute an appealing approach able to dynamically adapt the resource set to the actual workload. However, multiple constraints have to be taken into account for such policies to be applied on real infrastructures, in particular the time and energy cost of shutting down and waking up nodes, and power capping to avoid disruption of the system. In this paper, we propose models translating these various constraints into different shutdown policies that can be combined. Our models are validated through simulations on real workload traces and power measurements on real testbeds. 3
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Anne Benoit, Laurent Lefèvre, Anne-Cécile Orgerie, Issam Raïs. Shutdown Policies with Power Capping for Large Scale Computing Systems. Euro-Par: International European Conference on Parallel and Distributed Computing, Aug 2017, Santiago de Compostela, Spain. pp.134 - 146, ⟨10.1109/COMST.2016.2545109⟩. ⟨hal-01589555⟩

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