Energy Aware Scheduling Algorithms for Cloud Environments –A Survey

Sumit Kumar Saurav, Shajulin Benedict

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Energy-aware scheduling algorithms are emerging as important components in economic-conscious heterogeneous computing systems such as IoT-enabled edge, fog, or cloud environments. Most of the IoT applications utilize cloud infrastructure to process information or perform analytics. The design of energy-aware scheduling algorithms for cloud infrastructures is especially challenging given the highly variable state changes of processors and virtual machines, and the changing available compute nodes typically encountered in such infrastructures. In this paper, we have reviewed the merits and demerits of the available energy-efficient scheduling techniques for cloud environments which could be applied for IoT applications. The paper, in addition, discussed a few design challenges for creating an energy-efficient scheduler.

Original languageEnglish
Title of host publicationACCESS 2021 - Proceedings of 2021 2nd International Conference on Advances in Computing, Communication, Embedded and Secure Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages50-55
Number of pages6
ISBN (Electronic)9781728171364
DOIs
StatePublished - 2021
Externally publishedYes
Event2nd International Conference on Advances in Computing, Communication, Embedded and Secure Systems, ACCESS 2021 - Ernakulum, India
Duration: 2 Sep 20214 Sep 2021

Publication series

NameACCESS 2021 - Proceedings of 2021 2nd International Conference on Advances in Computing, Communication, Embedded and Secure Systems

Conference

Conference2nd International Conference on Advances in Computing, Communication, Embedded and Secure Systems, ACCESS 2021
Country/TerritoryIndia
CityErnakulum
Period2/09/214/09/21

Keywords

  • Cloud Computing
  • Energy
  • Green Scheduling
  • Performance Analysis
  • Scheduling Algorithms

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