Adaptive System Scheduling

Adaptive System Scheduling is a dynamic resource allocation mechanism that distinguishes itself from traditional scheduling approaches by autonomously adjusting task execution timelines and system configurations in response to real-time variations in workload, hardware conditions, and quality-of-service requirements within adaptive hardware systems.

74

Publications

2.2K

Citations

225

Authors

99

Institutions

Publications per year

2017–2026

13

Authors

225

  1. JN
    Jason Nieh

    Columbia University, United States

    3 publications · 103 citations

    3

    h-index

  2. YF
    Yuping Fan

    Illinois Institute of Technology, United States

    2 publications · 75 citations

    2

    h-index

  3. ZL
    Zhiling Lan

    Illinois Institute of Technology, United States

    2 publications · 75 citations

    2

    h-index

  4. PJ
    Peter J. Keleher

    University of Maryland, College Park, United States

    2 publications · 88 citations

    2

    h-index

  5. DP
    Dejan Perkovic

    University of Maryland, College Park, United States

    2 publications · 88 citations

    2

    h-index

1–5 of 225

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 2 publications · 65 citations

    2

    h-index

  2. IEEE/ACM Transactions on Networking

    TON · 2 publications · 101 citations

    2

    h-index

  3. Real-Time Systems

    1 publications · 33 citations

    1

    h-index

  4. DSpace@MIT (Massachusetts Institute of Technology)

    Repository · 1 publications · 33 citations

    1

    h-index

  5. Pervasive and Mobile Computing

    1 publications · 20 citations

    1

    h-index

1–5