Trace Storage Systems

Trace Storage System is a distributed data management system that specializes in ingesting, indexing, and retrieving trace data—comprising temporally ordered sequences of causal activity within distributed services—optimized for high write throughput, efficient temporal and attribute-based querying, and scalable retention across heterogeneous backend storage technologies.

10

Publications

646

Citations

31

Authors

18

Institutions

Publications per year

2017–2026

1

Authors

31

  1. GI
    Gianluca Iannaccone

    Intel (United States), United States

    2 publications · 105 citations

    2

    h-index

  2. NM
    Nick McKeown

    Stanford University, United States

    2 publications · 105 citations

    2

    h-index

  3. ID
    Ian D. Graham

    University of Ottawa, Canada

    2 publications · 106 citations

    2

    h-index

  4. CD
    Christophe Diot

    Sprint (United States), United States

    2 publications · 105 citations

    2

    h-index

  5. JM
    Jörg Micheel

    University of Waikato, New Zealand

    1 publications · 12 citations

    1

    h-index

1–5 of 31

Venues

  1. ACM SIGOPS Operating Systems Review

    1 publications · 31 citations

    1

    h-index

  2. 1

    h-index

  3. Journal of Experimental Psychology

    1 publications · 384 citations

    1

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 35 citations

    1

    h-index

1–4