Workflow Dependency Modeling

Workflow Dependency Modeling is a formal method for representing and analyzing intertask dependencies within computational workflows, distinguished by its focus on capturing precedence, dataflow, and resource constraints to enable automated planning and optimization in dependency-driven systems.

33

Publications

921

Citations

88

Authors

48

Institutions

Publications per year

2017–2026

1

Authors

88

  1. VA
    Vijayalakshmi Atluri

    Rutgers, The State University of New Jersey, United States

    3 publications · 128 citations

    3

    h-index

  2. TG
    Tomasz Gubała

    AGH University of Krakow, Poland

    2 publications · 41 citations

    2

    h-index

  3. MP
    Munindar P. Singh

    North Carolina State University, United States

    2 publications · 64 citations

    2

    h-index

  4. MB
    Marian Bubak

    AGH University of Krakow, Poland

    2 publications · 41 citations

    2

    h-index

  5. PC
    Paul C. Attie

    The University of Texas at Austin, United States

    2 publications · 64 citations

    2

    h-index

1–5 of 88

Venues

  1. Journal of Computer Security

    2 publications · 42 citations

    2

    h-index

  2. Journal of Systems and Software

    JSS · 2 publications · 34 citations

    2

    h-index

  3. EMISA FORUM

    1 publications · 14 citations

    1

    h-index

  4. International Conference on e-Science

    Conference · 1 publications · 22 citations

    1

    h-index

  5. Cooperative Information Systems

    Conference · 1 publications · 16 citations

    1

    h-index

1–5