Workflow State Management

Workflow State Management is a data orchestration method that specifies the mechanisms and protocols for persisting, tracking, and restoring the execution status and metadata of workflow tasks across distributed systems to ensure consistency, fault tolerance, and resumability in automated data pipelines.

43

Publications

2.3K

Citations

162

Authors

74

Institutions

Publications per year

2017–2026

7

Authors

162

  1. ED
    Ewa Deelman

    University of Southern California, United States

    6 publications · 289 citations

    6

    h-index

  2. RF
    Rafael Ferreira da Silva

    University of Southern California, United States

    3 publications · 196 citations

    3

    h-index

  3. MH
    Martin Hofmann‐Apitius

    Fraunhofer Institute for Algorithms and Scientific Computing, Germany

    2 publications · 30 citations

    2

    h-index

  4. YY
    Yun Yang

    Swinburne University of Technology, Australia

    2 publications · 50 citations

    2

    h-index

  5. XL
    Xiao Liu

    Deakin University, Australia

    2 publications · 50 citations

    2

    h-index

1–5 of 162

Venues

  1. Future Generation Computer Systems

    FGCS · 6 publications · 265 citations

    6

    h-index

  2. Journal of Systems and Software

    JSS · 2 publications · 55 citations

    2

    h-index

  3. Journal of Grid Computing

    2 publications · 63 citations

    2

    h-index

  4. Journal of Intelligent Information Systems

    1 publications · 45 citations

    1

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 22 citations

    1

    h-index

1–5