Energy-aware Scheduling for Infrastructure Clouds

Publikation: Beitrag zu KonferenzenPaperBeigetragenBegutachtung

Abstract

More and more data centers are built, consuming ever more kilo watts of energy. Over the years, energy has become a dominant cost factor for data center operators. Utilizing low-power idle modes is an immediate remedy to reduce data center power consumption. We use simulation to quantify the difference in energy consumption caused exclusively by virtual machine schedulers. Besides demonstrating the inefficiency of wide-spread default schedulers, we present our own optimized scheduler. Using a range of realistic simulation scenarios, our customized scheduler OptSched reduces cumulative machine uptime by up to 60.1%. We evaluate the effect of data center composition, run time distribution, virtual machine sizes, and batch requests on cumulative machine uptime. IaaS administrators can use our results to quickly assess possible reductions in machine uptime and, hence, untapped energy saving potential.

Details

OriginalspracheEnglisch
Seitenumfang9
PublikationsstatusVeröffentlicht - 2012
Peer-Review-StatusJa

Konferenz

Titel4th IEEE International Conference on Cloud Computing Technology and Science
KurztitelCloudCom 2012
Veranstaltungsnummer4
Dauer3 - 6 Dezember 2012
Webseite
BekanntheitsgradInternationale Veranstaltung
StadtTaipei
LandTaiwan

Externe IDs

Scopus 84874268757

Schlagworte

Forschungsprofillinien der TU Dresden

DFG-Fachsystematik nach Fachkollegium

Ziele für nachhaltige Entwicklung