Latency Decomposition

Latency Decomposition is a methodological framework within latency analysis that systematically breaks down end-to-end delay into its constituent components—such as propagation, transmission, processing, and queuing delays—to enable precise identification, measurement, and optimization of performance bottlenecks in computing and communication systems.

19

Publications

1.1K

Citations

58

Authors

26

Institutions

Publications per year

2017–2026

0

Authors

58

  1. AR
    Albrecht Rothermel

    Universität Ulm, Germany

    2 publications · 25 citations

    2

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  2. MM
    Malgorzata Marek-Sadowska

    University of California, Santa Barbara, United States

    2 publications · 40 citations

    2

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  3. YS
    Yu-Shih Su

    Industrial Technology Research Institute, Taiwan

    2 publications · 40 citations

    2

    h-index

  4. DW
    Da-Chung Wang

    University of California, Santa Barbara, United States

    2 publications · 40 citations

    2

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  5. RM
    Ralf M. Schreier

    Universität Ulm, Germany

    2 publications · 25 citations

    2

    h-index

1–5 of 58

Venues

  1. 2

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  2. Infection Genetics and Evolution

    1 publications · 18 citations

    1

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  3. 1

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  4. IEEE Micro

    1 publications · 140 citations

    1

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  5. IEEE Transactions on Signal Processing

    1 publications · 33 citations

    1

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1–5