Towards energy-aware scheduling of scientific workflows

Mehul Warade, Jean Guy Schneider, Kevin Lee

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

3 Citations (Scopus)


Contemporary scientific computation is increasingly structured using scientific workflows that are executed on highly scalable compute clusters. The execution of these workflows is generally geared towards optimizing run-time performance with the energy footprint of the execution being ignored. However, there is evidence that minimizing both execution time as well as energy consumption are not mutually exclusive. The aim of the work presented in this paper is to highlight the benefits of energy-aware scientific workflow execution. In this paper, we propose a set of requirements for an energy-aware scheduling and present an architecture for the implementation of an energy-aware scheduler.

Original languageEnglish
Title of host publication2022 International Conference on Green Energy, Computing and Sustainable Technology (GECOST)
EditorsIng Ming Chew, Yi Chew Han, Sivaraman Eswaran, Veeramani Shanmugam
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)9781665486637
ISBN (Print)9781665486644
Publication statusPublished - 2022
Externally publishedYes
EventInternational Conference on Green Energy, Computing and Sustainable Technology 2022 - Online, Malaysia
Duration: 26 Oct 202228 Oct 2022 (Proceedings) (Website)


ConferenceInternational Conference on Green Energy, Computing and Sustainable Technology 2022
Abbreviated titleGECOST 2022
Internet address


  • Energy-Aware Computing
  • Scheduling
  • Scientific workflows

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