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  4. Drowsy-DC: Data center power management system
 
conference paper

Drowsy-DC: Data center power management system

Bacou, Mathieu
•
Todeschi, Gregoire
•
Tchana, Alain
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January 1, 2019
2019 Ieee 33Rd International Parallel And Distributed Processing Symposium (Ipdps 2019)
33rd IEEE International Parallel and Distributed Processing Symposium (IPDPS)

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.

  • Details
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Type
conference paper
DOI
10.1109/IPDPS.2019.00091
Web of Science ID

WOS:000539043300078

Author(s)
Bacou, Mathieu
Todeschi, Gregoire
Tchana, Alain
Hagimont, Daniel
Lepers, Baptiste  
Zwaenepoel, Willy  
Date Issued

2019-01-01

Publisher

IEEE

Publisher place

New York

Published in
2019 Ieee 33Rd International Parallel And Distributed Processing Symposium (Ipdps 2019)
ISBN of the book

978-1-7281-1246-6

Series title/Series vol.

International Parallel and Distributed Processing Symposium IPDPS

Start page

825

End page

834

Subjects

Computer Science, Hardware & Architecture

•

Computer Science, Theory & Methods

•

Computer Science

•

virtualization

•

consolidation

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long-lived mostly idle

•

low-power state

•

power consumption

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LABOS  
Event nameEvent placeEvent date
33rd IEEE International Parallel and Distributed Processing Symposium (IPDPS)

Rio de Janeiro, BRAZIL

May 20-24, 2019

Available on Infoscience
July 12, 2020
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/170017
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