Global Snapshot Algorithms

Global Snapshot Algorithms is a distributed algorithmic framework designed to capture a consistent global state of a distributed system by coordinating local checkpoints across processes in a way that preserves causal relationships among events.

18

Publications

2.9K

Citations

58

Authors

42

Institutions

Publications per year

2017–2026

1

Authors

58

  1. YS
    Yogish Sabharwal

    IBM Research - India, India

    3 publications · 72 citations

    3

    h-index

  2. AD
    Ajay D. Kshemkalyani

    University of Illinois Chicago, United States

    2 publications · 44 citations

    2

    h-index

  3. MS
    M. Singhal

    The Ohio State University, United States

    2 publications · 226 citations

    2

    h-index

  4. RP
    Ravi Prakash

    The University of Texas at Dallas, United States

    2 publications · 226 citations

    2

    h-index

  5. FM
    Friedemann Mattern

    ETH Zurich, Switzerland

    2 publications · 1.7K citations

    2

    h-index

1–5 of 58

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 4 publications · 486 citations

    4

    h-index

  2. Bioinformatics

    2 publications · 69 citations

    2

    h-index

  3. Journal of Parallel and Distributed Computing

    2 publications · 409 citations

    2

    h-index

  4. Cell Reports

    1 publications · 84 citations

    1

    h-index

  5. Nature Biotechnology

    1 publications · 11 citations

    1

    h-index

1–5