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DrowSy-DC: Data center power management system

  • Mathieu Bacou
  • , Grégoire Todeschi
  • , Alain Tchana
  • , Daniel Hagimont
  • , Baptiste Lepers
  • , Willy Zwaenepoel

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collectionContribution à une conférenceRevue par des pairs

Résumé

In a modern data center (DC), a large majority of costs arise from energy consumption. The most popular technique used to mitigate this issue is virtualization and more precisely virtual machine (VM) consolidation. Although consolidation may increase server usage by about 5-10%, it is difficult to actually witness server loads greater than 50%. By analyzing the traces from our cloud provider partner, confirmed by previous research work, we have identified that some VMs have sporadic moments of data computation followed by large periods of idleness. These VMs often hinder the consolidation system which cannot further increase the energy efficiency of the DC. In this paper we propose a novel DC power management system called Drowsy-DC, which is able to identify the aforementioned VMs which have matching patterns of idleness. These VMs can thus be colocated on the same server so that their idle periods are exploited to put the server to a low power mode (suspend to RAM) until some data computation is required. While introducing a negligible overhead, our system is able to significantly improve any VM consolidation system; evaluations showed improvements up to 81% and more when compared to OpenStack Neat.

langue originaleAnglais
titreProceedings - 2019 IEEE 33rd International Parallel and Distributed Processing Symposium, IPDPS 2019
EditeurInstitute of Electrical and Electronics Engineers Inc.
Pages825-834
Nombre de pages10
ISBN (Electronique)9781728112466
Les DOIs
étatPublié - 1 mai 2019
Modification externeOui
Evénement33rd IEEE International Parallel and Distributed Processing Symposium, IPDPS 2019 - Rio de Janeiro, Brésil
Durée: 20 mai 201924 mai 2019

Série de publications

NomProceedings - 2019 IEEE 33rd International Parallel and Distributed Processing Symposium, IPDPS 2019

Une conférence

Une conférence33rd IEEE International Parallel and Distributed Processing Symposium, IPDPS 2019
Pays/TerritoireBrésil
La villeRio de Janeiro
période20/05/1924/05/19

SDG des Nations Unies

Ce résultat contribue à ou aux Objectifs de développement durable suivants

  1. SDG 7 - Énergie abordable et propre
    SDG 7 Énergie abordable et propre

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