Energy elasticity on heterogeneous hardware using adaptive resource reconfiguration LIVE

Research output: Contribution to book/conference proceedings/anthology/reportConference contributionContributedpeer-review

Contributors

  • Annett Ungethüm - , TUD Dresden University of Technology (Author)
  • Thomas Kissinger - , TUD Dresden University of Technology (Author)
  • Willi Wolfram Mentzel - , TUD Dresden University of Technology (Author)
  • Dirk Habich - , TUD Dresden University of Technology (Author)
  • Wolfgang Lehner - , TUD Dresden University of Technology (Author)

Abstract

Energy awareness of database systems has emerged as a critical research topic, since energy consumption is becoming a major limiter for their scalability. Recent energyrelated hardware developments trend towards offering more and more configuration opportunities for the software to control its own energy consumption. Existing research so far mainly focused on leveraging this configuration spectrum to find the most energy-efficient configuration for specific operators or entire queries. In this demo, we introduce the concept of energy elasticity and propose the energy-control loop as an implementation of this concept. Energy elasticity refers to the ability of software to behave energyproportional and energy-efficient at the same time while maintaining a certain quality of service. Thus, our system does not draw the least energy possible but the least energy necessary to still perform reasonably. We demonstrate our overall approach using a rich interactive GUI to give attendees the opportunity to learn more about our concept.

Details

Original languageEnglish
Title of host publicationSIGMOD '16: Proceedings of the 2016 International Conference on Management of Data
PublisherAssociation for Computing Machinery (ACM), New York
Pages2173-2176
Number of pages4
ISBN (print)978-1-4503-3531-7
Publication statusPublished - 26 Jun 2016
Peer-reviewedYes
Externally publishedYes

Publication series

SeriesMOD: International Conference on Management of Data (SIGMOD)

Conference

Title2016 ACM SIGMOD International Conference on Management of Data, SIGMOD 2016
Duration26 June - 1 July 2016
CitySan Francisco
CountryUnited States of America

External IDs

ORCID /0000-0001-8107-2775/work/142253568

Keywords

Sustainable Development Goals

ASJC Scopus subject areas

Keywords

  • Adaptivity, Energy, Energy elasticity, Heterogeneity