Unified Cross-Layer Cluster-Node Scheduling for Heterogeneous Datacenters

Wenkai Guan, Cristinel Ababei

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

1 Scopus citations

Abstract

In this paper, we present a two-level hierarchical scheduler for datacenters called Qin. The goal of the proposed scheduler is to exploit increased server heterogeneity. It combines in a unified approach cluster and node level scheduling algorithms, and it can consider specific optimization objectives including job completion time, energy usage, and energy delay product (EDP). Its novelty lies in the unified approach and in modeling interference and heterogeneity. Experiments on a real cluster demonstrate the proposed approach outperforms state-of-The-Art schedulers by 10.2 % in completion time, 38.65 % in energy usage, and 41.98% in EDP.

Original languageEnglish (US)
Title of host publication2022 IEEE 13th International Green and Sustainable Computing Conference, IGSC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665465502
DOIs
StatePublished - 2022
Externally publishedYes
Event13th IEEE International Green and Sustainable Computing Conference, IGSC 2022 - Virtual, Online, United States
Duration: Oct 24 2022Oct 25 2022

Publication series

Name2022 IEEE 13th International Green and Sustainable Computing Conference, IGSC 2022

Conference

Conference13th IEEE International Green and Sustainable Computing Conference, IGSC 2022
Country/TerritoryUnited States
CityVirtual, Online
Period10/24/2210/25/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

  • collaborative filtering
  • datacenters
  • heterogeneity
  • scheduling

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