Concepedia

Data-intensive Computing

Data-Intensive Computing is a computational paradigm that focuses on the efficient processing, analysis, and management of large-scale datasets characterized by high volume, velocity, and variety, distinguished from other computing paradigms by its emphasis on data-centric operations and scalability in handling data-heavy workloads.

3.1K

Publications

184.8K

Citations

9.6K

Authors

1.9K

Institutions

Publications per year

2017–2026

945

Parents

Publications

3.1K

Spark: cluster computing with working sets

Matei Zaharia, Mosharaf Chowdhury, Michael J. Franklin et al. · 2010 · 4.2K citations

, , +16

Resilient distributed datasets: a fault-tolerant abstraction for in-memory cluster computing

Matei Zaharia, Mosharaf Chowdhury, Tathagata Das et al. · 2012 · 3.6K citations

, , +15

Data-intensive applications, challenges, techniques and technologies: A survey on Big Data

C. L. Philip Chen, Chun‐yang Zhang · Information Sciences · 2014 · 3K citations

, , +14

Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources

IEEE Geoscience and Remote Sensing Magazine · 2017 · 3K citations · Full text

, , +15

MapReduce: Simplified Data Processing on Large Cluster

INTERNATIONAL JOURNAL OF RESEARCH AND ENGINEERING · 2018 · 3K citations · Full text

, , +17

1–5 of 3.1K

Authors

9.6K

  1. IF
    Ian Foster

    Argonne National Laboratory, United States

    32 publications · 3.5K citations

    23

    h-index

  2. SK
    Scott Klasky

    Oak Ridge National Laboratory, United States

    30 publications · 1.5K citations

    20

    h-index

  3. OM
    Onur Mutlu

    Carnegie Mellon University, United States

    23 publications · 2.1K citations

    19

    h-index

  4. MP
    Manish Parashar

    Rutgers, The State University of New Jersey, United States

    24 publications · 948 citations

    17

    h-index

  5. IS
    Ion Stoica

    University of California, Berkeley, United States

    18 publications · 13.5K citations

    16

    h-index

1–5 of 9.6K

Institutions

1.9K

  1. University of California, Berkeley

    Berkeley, United States

    43 h-index

    221 publications

    97.2K citations

  2. Argonne National Laboratory

    Lemont, United States

    39 h-index

    271 publications

    19.3K citations

  3. Carnegie Mellon University

    Pittsburgh, United States

    35 h-index

    191 publications

    29.8K citations

  4. University of Chicago

    Chicago, United States

    30 h-index

    113 publications

    14.6K citations

  5. Oak Ridge National Laboratory

    Oak Ridge, United States

    29 h-index

    244 publications

    7.8K citations

  6. Lawrence Berkeley National Laboratory

    Berkeley, United States

    27 h-index

    229 publications

    13.8K citations

  7. Microsoft (United States)

    Redmond, United States

    26 h-index

    119 publications

    11.4K citations

  8. The Ohio State University

    Columbus, United States

    26 h-index

    157 publications

    6.4K citations

1–8 of 1.9K

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 74 publications · 5.9K citations

    41

    h-index

  2. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 45 publications · 1.7K citations

    25

    h-index

  3. arXiv (Cornell University)

    Repository · 39 publications · 2.1K citations

    20

    h-index

  4. Computer

    20 publications · 1.7K citations

    17

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 18 publications · 1.1K citations

    16

    h-index

1–5