DrowSy-DC: Data center power management system

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE 33rd International Parallel and Distributed Processing Symposium, IPDPS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages825-834
Number of pages10
ISBN (Electronic)9781728112466
DOIs
Publication statusPublished - 1 May 2019
Externally publishedYes
Event33rd IEEE International Parallel and Distributed Processing Symposium, IPDPS 2019 - Rio de Janeiro, Brazil
Duration: 20 May 201924 May 2019

Publication series

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

Conference

Conference33rd IEEE International Parallel and Distributed Processing Symposium, IPDPS 2019
Country/TerritoryBrazil
CityRio de Janeiro
Period20/05/1924/05/19

Keywords

  • Consolidation
  • Long-lived mostly idle
  • Low-power state
  • Power consumption
  • Virtualization

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