Fault-tolerant Workflow Scheduling

Fault-Tolerant Workflow Scheduling is a workflow scheduling paradigm that ensures the reliable execution of interdependent computational tasks in distributed systems by incorporating mechanisms to detect, recover from, or mitigate the impact of hardware or software failures.

40

Publications

1.8K

Citations

127

Authors

71

Institutions

Publications per year

2017–2026

21

Authors

127

  1. RB
    Rajkumar Buyya

    The University of Melbourne, Australia

    4 publications · 362 citations

    4

    h-index

  2. DP
    Deepak Poola

    The University of Melbourne, Australia

    3 publications · 342 citations

    3

    h-index

  3. KR
    Kotagiri Ramamohanarao

    The University of Melbourne, Australia

    3 publications · 342 citations

    3

    h-index

  4. SM
    S. M. Dilip Kumar

    Visvesvaraya Technological University, India

    2 publications · 27 citations

    2

    h-index

  5. ZL
    Zhongjin Li

    Hangzhou Dianzi University, China

    2 publications · 63 citations

    2

    h-index

1–5 of 127

Venues

  1. IEEE Transactions on Cloud Computing

    3 publications · 206 citations

    3

    h-index

  2. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 3 publications · 248 citations

    3

    h-index

  3. Journal of Grid Computing

    3 publications · 51 citations

    3

    h-index

  4. The Journal of Supercomputing

    2 publications · 92 citations

    2

    h-index

  5. Information Sciences

    2 publications · 106 citations

    2

    h-index

1–5