Concepedia

Low-latency Stream Analytics

Low-Latency Stream Analytics is a stream processing paradigm that enables real-time analytical computations on continuous data streams with minimal end-to-end delay, distinguishing itself by prioritizing immediate insight generation over batch-oriented or high-latency processing methods.

28

Publications

1.3K

Citations

117

Authors

37

Institutions

Publications per year

2017–2026

15

Parents

Publications

28

LAVEA

Shanhe Yi, Zijiang Hao, Qingyang Zhang et al. · 2017 · 240 citations

, , +17

AWStream

Ben Zhang, Xin Jin, Sylvia Ratnasamy et al. · 2018 · 219 citations

, , +15

A Survey of Distributed Data Stream Processing Frameworks

Haruna Isah, Tariq Abughofa, Sazia Mahfuz et al. · IEEE Access · 2019 · 154 citations · Full text

, , +16

Continuous analytics over discontinuous streams

Sailesh Krishnamurthy, Michael J. Franklin, Jeffrey R. Davis et al. · 2010 · 104 citations

, , +14

Low latency analytics for streaming traffic data with Apache Spark

Altti Ilari Maarala, Mika Rautiainen, Miikka Salmi et al. · 2015 · 61 citations

, , +17

1–5 of 28

Authors

117

  1. BC
    Badrish Chandramouli

    Microsoft (United States), United States

    2 publications · 38 citations

    2

    h-index

  2. JG
    Jonathan Goldstein

    Microsoft (United States), United States

    2 publications · 38 citations

    2

    h-index

  3. SP
    Susanna Pirttikangas

    University of Oulu, Finland

    1 publications · 61 citations

    1

    h-index

  4. CW
    Charith Wickramaarachchi

    University of Southern California, United States

    1 publications · 12 citations

    1

    h-index

  5. QL
    Qun Li

    William & Mary, United States

    1 publications · 240 citations

    1

    h-index

1–5 of 117

Institutions

37

  1. Amazon (United States)

    Seattle, United States

    2 h-index

    3 publications

    54 citations

  2. National University of Singapore

    Singapore, Singapore

    2 h-index

    4 publications

    87 citations

  3. Microsoft (United States)

    Redmond, United States

    2 h-index

    9 publications

    176 citations

  4. University of California, Berkeley

    Berkeley, United States

    2 h-index

    5 publications

    891 citations

  5. Technical University of Munich

    Munich, Germany

    1 h-index

    5 publications

    55 citations

  6. Rice University

    Houston, United States

    1 h-index

    1 publications

    15 citations

  7. Microsoft (Germany)

    Munich, Germany

    1 h-index

    2 publications

    28 citations

  8. University of Oulu

    Oulu, Finland

    1 h-index

    5 publications

    305 citations

1–8 of 37

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 53 citations

    3

    h-index

  2. IEEE Access

    1 publications · 154 citations

    1

    h-index

  3. The Journal of Finance and Data Science

    JFDS · 1 publications · 54 citations

    1

    h-index

  4. ACM SIGMOD Record

    1 publications · 24 citations

    1

    h-index

  5. Sensors

    1 publications · 15 citations

    1

    h-index

1–5