Dynamic Workflow Composition

Dynamic Workflow Composition is a data orchestration framework that enables the automated, context-driven assembly and execution of workflows by integrating heterogeneous computational tasks and data sources in real time, distinguished from static workflow models by its adaptive reconfiguration in response to evolving data, system conditions, or user requirements.

52

Publications

1.6K

Citations

190

Authors

84

Institutions

Publications per year

2017–2026

10

Authors

190

  1. MP
    Manish Parashar

    Rutgers, The State University of New Jersey, United States

    3 publications · 49 citations

    3

    h-index

  2. CE
    Colin Enticott

    Monash University, Australia

    2 publications · 107 citations

    2

    h-index

  3. RK
    R. Krithivasan

    University of Florida, United States

    2 publications · 37 citations

    2

    h-index

  4. DA
    David Abramson

    Monash University, Australia

    2 publications · 107 citations

    2

    h-index

  5. AJ
    Arun Jagatheesan

    San Diego Supercomputer Center, United States

    2 publications · 37 citations

    2

    h-index

1–5 of 190

Venues

  1. IEEE Internet Computing

    2 publications · 105 citations

    2

    h-index

  2. Advanced Engineering Informatics

    1 publications · 10 citations

    1

    h-index

  3. Proceedings. IEEE International Conference on Web Services, 2004.

    Conference · 1 publications · 55 citations

    1

    h-index

  4. 1

    h-index

  5. Journal of Industrial Information Integration

    1 publications · 24 citations

    1

    h-index

1–5