Shutdown Policies with Power Capping for Large Scale Computing Systems

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...

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Bibliographic Details
Published inEuro-Par 2017: Parallel Processing Vol. 10417; pp. 134 - 146
Main Authors Benoit, Anne, Lefèvre, Laurent, Orgerie, Anne-Cécile, Raïs, Issam
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2017
Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
Energy models
Large scale distributed systems
Shutdown policies
Simulations
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Summary: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.
ISBN:9783319642024
3319642022
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-64203-1_10