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Carbon-Aware Temporal Data Transfer Scheduling Across Cloud Datacenters

  • SUNY Buffalo

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

1 Scopus citations

Abstract

Inter-datacenter communication is a significant part of cloud operations and produces a substantial amount of carbon emissions for cloud data centers, where the environmental impact has already been a pressing issue. In this paper, we present a novel carbon-aware temporal data transfer scheduling framework, called LinTS, which promises to significantly reduce the carbon emission of data transfers between cloud data centers. LinTS produces a competitive transfer schedule and makes scaling decisions, outperforming common heuristic algorithms. LinTS can lower carbon emissions during inter-datacenter transfers by up to 66 % compared to the worst case and up to 15 % compared to other solutions while preserving all deadline constraints.

Original languageEnglish
Title of host publicationProceedings - 2025 IEEE 18th International Conference on Cloud Computing, CLOUD 2025
EditorsRong N. Chang, Carl K. Chang, Jingwei Yang, Nimanthi Atukorala, Dan Chen, Sumi Helal, Sasu Tarkoma, Qiang He, Tevfik Kosar, Claudio Ardagna, Yehia Elkhatib, Petteri Nurmi, Santonu Sarkar
PublisherIEEE Computer Society
Pages255-264
Number of pages10
ISBN (Electronic)9798331555573
DOIs
StatePublished - 2025
Event18th IEEE International Conference on Cloud Computing, CLOUD 2025 - Helsinki, Finland
Duration: Jul 7 2025Jul 12 2025

Publication series

NameIEEE International Conference on Cloud Computing, CLOUD
ISSN (Print)2159-6182
ISSN (Electronic)2159-6190

Conference

Conference18th IEEE International Conference on Cloud Computing, CLOUD 2025
Country/TerritoryFinland
CityHelsinki
Period07/7/2507/12/25

Keywords

  • Carbon-aware scheduling
  • cloud datacenters
  • data transfers
  • temporal shifting

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