Scalable Discovery Protocols

Scalable Discovery Protocols is a formal framework in the domain of resource discovery that enables efficient and reliable identification of resources in large-scale distributed systems by maintaining performance and correctness as the system grows in size and dynamicity.

34

Publications

2K

Citations

87

Authors

38

Institutions

Publications per year

2017–2026

2

Authors

87

  1. AV
    Amin Vahdat

    University of California San Diego, United States

    3 publications · 349 citations

    3

    h-index

  2. DO
    David Oppenheimer

    University of California, Berkeley, United States

    3 publications · 349 citations

    3

    h-index

  3. JA
    Jeannie Albrecht

    Williams College, United States

    3 publications · 349 citations

    3

    h-index

  4. DA
    David A. Patterson

    University of California, Berkeley, United States

    3 publications · 349 citations

    3

    h-index

  5. AS
    Aleksandrs Slivkins

    Microsoft (United States), United States

    2 publications · 447 citations

    2

    h-index

1–5 of 87

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 1 publications · 20 citations

    1

    h-index

  2. ACM Transactions on Internet Technology

    TOIT · 1 publications · 107 citations

    1

    h-index

  3. 1

    h-index

  4. ACM SIGCOMM Computer Communication Review

    CCR · 1 publications · 78 citations

    1

    h-index

  5. IEEE/ACM Transactions on Networking

    TON · 1 publications · 34 citations

    1

    h-index

1–5