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Computer Science

D-Index
53
Citations
15311
World Ranking
4724
National Ranking
2195

Overview

Michael Kaminsky is affiliated with Carnegie Mellon University in the United States and specializes in the field of computer science. Their research portfolio spans several subfields, prominently featuring work in computer networks and communications, artificial intelligence, hardware and architecture, and computational theory and mathematics.

The scientist's recent publications include studies that explore advanced data storage technologies and network-related optimizations. These published works appeared in various academic venues and cover a range of topics related to database systems, preemptible functions, and data compression techniques. Notable recent papers are:

  • Succinct Range Filters, 2020, ACM Transactions on Database Systems
  • Lightweight Preemptible Functions, 2022, OPAL (Open@LaTrobe) (La Trobe University)
  • Succinct Range Filters, 2021, Communications of the ACM
  • Order-Preserving Key Compression for In-Memory Search Trees, 2020, arXiv (Cornell University)

The scientist collaborates regularly with several coauthors, including David G. Andersen, Huanchen Zhang, Kimberly Keeton, Andrew Pavlo, and Hyeontaek Lim. These collaborative efforts are reflected in multiple publications across their research career.

Michael Kaminsky has published in a selection of scholarly venues consistent with their research interests. The frequent venues for their work include:

  • ACM Transactions on Database Systems
  • OPAL (Open@LaTrobe) (La Trobe University)
  • Communications of the ACM
  • arXiv (Cornell University)

Their research topics cover a broad spectrum of technical issues linked to network and data systems. Key research themes include:

  • Advanced Data Storage Technologies
  • Caching and Content Delivery
  • Network Packet Processing and Optimization
  • Internet Traffic Analysis and Secure E-voting
  • Parallel Computing and Optimization Techniques
  • Logic, Programming, and Type Systems
  • Cellular Automata and Applications

Best Publications

  • SybilGuard: defending against sybil attacks via social networks

    Haifeng Yu;Michael Kaminsky;Phillip B. Gibbons;Abraham Flaxman

  • SybilLimit: A Near-Optimal Social Network Defense against Sybil Attacks

    Haifeng Yu;P.B. Gibbons;M. Kaminsky;Feng Xiao

  • c-Through: part-time optics in data centers

    Guohui Wang;David G. Andersen;Michael Kaminsky;Konstantina Papagiannaki

  • Don't settle for eventual: scalable causal consistency for wide-area storage with COPS

    Wyatt Lloyd;Michael J. Freedman;Michael Kaminsky;David G. Andersen

  • FAWN: a fast array of wimpy nodes

    David G. Andersen;Jason Franklin;Michael Kaminsky;Amar Phanishayee

  • Cuckoo Filter: Practically Better Than Bloom

    Bin Fan;Dave G. Andersen;Michael Kaminsky;Michael D. Mitzenmacher

  • Using RDMA efficiently for key-value services

    Anuj Kalia;Michael Kaminsky;David G. Andersen

  • Separating key management from file system security

    David Mazières;Michael Kaminsky;M. Frans Kaashoek;Emmett Witchel

  • MICA: a holistic approach to fast in-memory key-value storage

    Hyeontaek Lim;Dongsu Han;David G. Andersen;Michael Kaminsky

  • SILT: a memory-efficient, high-performance key-value store

    Hyeontaek Lim;Bin Fan;David G. Andersen;Michael Kaminsky

  • There is more consensus in Egalitarian parliaments

    Iulian Moraru;David G. Andersen;Michael Kaminsky

  • MemC3: compact and concurrent MemCache with dumber caching and smarter hashing

    Bin Fan;David G. Andersen;Michael Kaminsky

  • SybilGuard: defending against sybil attacks via social networks

    Haifeng Yu;Michael Kaminsky;Phillip B. Gibbons;Abraham D. Flaxman

  • Stronger semantics for low-latency geo-replicated storage

    Wyatt Lloyd;Michael J. Freedman;Michael Kaminsky;David G. Andersen

  • Use of electrochemical sensors for measurement of air pollution: correcting interference response and validating measurements

    Eben S. Cross;Leah R. Williams;David K. Lewis;Gregory R. Magoon

  • FaSST: fast, scalable and simple distributed transactions with two-sided (RDMA) datagram RPCs

    Anuj Kalia;Michael Kaminsky;David G. Andersen

  • SybilLimit: a near-optimal social network defense against sybil attacks

    Haifeng Yu;Phillip B. Gibbons;Michael Kaminsky;Feng Xiao

  • Design guidelines for high performance RDMA systems

    Anuj Kalia;Michael Kaminsky;David G. Andersen

  • Algorithmic improvements for fast concurrent Cuckoo hashing

    Xiaozhou Li;David G. Andersen;Michael Kaminsky;Michael J. Freedman

  • RE: reliable email

    Scott Garriss;Michael Kaminsky;Michael J. Freedman;Brad Karp

Frequent Co-Authors

David G. Andersen
David G. Andersen Carnegie Mellon University
Srinivasan Seshan
Srinivasan Seshan Carnegie Mellon University
Konstantina Papagiannaki
Konstantina Papagiannaki Google (United States)
Michael J. Freedman
Michael J. Freedman Princeton University
Phillip B. Gibbons
Phillip B. Gibbons Carnegie Mellon University
Vijay K. Vasudevan
Vijay K. Vasudevan Google (United States)
Andrew Pavlo
Andrew Pavlo Carnegie Mellon University
Michael Kozuch
Michael Kozuch Intel (United States)
Dongsu Han
Dongsu Han Korea Advanced Institute of Science and Technology
David Mazières
David Mazières Stanford University

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