Carbon-aware Scheduling

Carbon-Aware Scheduling is a resource allocation strategy in cloud computing that dynamically optimizes task placement and execution timing according to the carbon intensity of electricity sources, thereby minimizing the operational carbon footprint of distributed workloads.

102

Publications

4.3K

Citations

331

Authors

117

Institutions

Publications per year

2017–2026

90

Authors

331

  1. DI
    David Irwin

    University of Massachusetts Amherst, United States

    4 publications · 140 citations

    6

    h-index

  2. PS
    Prashant Shenoy

    University of Massachusetts Amherst, United States

    4 publications · 140 citations

    6

    h-index

  3. NB
    Noman Bashir

    University of Massachusetts Amherst, United States

    2 publications · 85 citations

    5

    h-index

  4. ZD
    Zhaohao Ding

    North China Electric Power University, China

    2 publications · 89 citations

    3

    h-index

  5. XW
    Xiao Wu

    Southeast University, China

    3 publications · 194 citations

    3

    h-index

1–5 of 331

Venues

  1. Applied Energy

    12 publications · 689 citations

    12

    h-index

  2. Energy

    8 publications · 307 citations

    9

    h-index

  3. Journal of Cleaner Production

    7 publications · 464 citations

    7

    h-index

  4. Energy Conversion and Management

    5 publications · 247 citations

    6

    h-index

  5. Electric Power Systems Research

    5 publications · 150 citations

    5

    h-index

1–5