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Computer Science

D-Index
72
Citations
26330
World Ranking
1649
National Ranking
848

Research.com Recognitions

  • 2011 - Fellow of Alfred P. Sloan Foundation

Overview

David G. Andersen is affiliated with Carnegie Mellon University in the United States. Their research primarily falls within the field of Computer Science, with a notable focus on subfields such as Computer Networks and Communications, Artificial Intelligence, Hardware and Architecture, Signal Processing, and Computational Theory and Mathematics.

Throughout their career, Andersen has contributed to several main research topics, including:

  • Caching and Content Delivery
  • Advanced Data Storage Technologies
  • Parallel Computing and Optimization Techniques
  • Network Packet Processing and Optimization
  • Internet Traffic Analysis and Secure E-voting
  • Data Management and Algorithms
  • Data Stream Mining Techniques

Among the recent papers published by Andersen or closely related to their work are:

  • Succinct Range Filters, 2020, ACM Transactions on Database Systems
  • Cuckoo index, 2020, Proceedings of the VLDB Endowment
  • Lightweight Preemptible Functions, 2022, OPAL (Open@LaTrobe) (La Trobe University)
  • Combining Machine Learning and Lifetime-Based Resource Management for Memory Allocation and Beyond, 2024, Communications of the ACM
  • Succinct range filters, 2021, Communications of the ACM

The venues where Andersen frequently publishes include:

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

Frequent co-authors in Andersen's research work encompass:

  • Michael Kaminsky
  • Andrew Pavlo
  • Huanchen Zhang
  • Kimberly Keeton
  • Hyeontaek Lim

In recognition of their contributions, Andersen was named a Fellow of the Alfred P. Sloan Foundation in 2011.

Best Publications

  • Resilient overlay networks

    David Andersen;Hari Balakrishnan;Frans Kaashoek;Robert Morris

  • Resilient overlay networks

    Unknown

  • Scaling distributed machine learning with the parameter server

    Mu Li;David G. Andersen;Jun Woo Park;Alexander J. Smola

  • 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

  • Communication Efficient Distributed Machine Learning with the Parameter Server

    Mu Li;David G Andersen;Alex J Smola;Kai Yu

  • Safe and effective fine-grained TCP retransmissions for datacenter communication

    Vijay Vasudevan;Amar Phanishayee;Hiral Shah;Elie Krevat

  • Using RDMA efficiently for key-value services

    Anuj Kalia;Michael Kaminsky;David G. Andersen

  • 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

  • Accountable internet protocol (aip)

    David G. Andersen;Hari Balakrishnan;Nick Feamster;Teemu Koponen

  • 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

  • An empirical evaluation of entropy-based traffic anomaly detection

    George Nychis;Vyas Sekar;David G. Andersen;Hyong Kim

  • The flask security architecture: system support for diverse security policies

    Ray Spencer;Stephen Smalley;Peter Loscocco;Mike Hibler

  • Theoretical Approaches to Node Assignment

    David G. Andersen

  • Measurement and analysis of TCP throughput collapse in cluster-based storage systems

    Amar Phanishayee;Elie Krevat;Vijay Vasudevan;David G. Andersen

  • Stronger semantics for low-latency geo-replicated storage

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

  • Resilient overlay networks

    David Andersen;Hari Balakrishnan;Frans Kaashoek;Robert Morris

Frequent Co-Authors

Michael Kaminsky
Michael Kaminsky Carnegie Mellon University
Srinivasan Seshan
Srinivasan Seshan Carnegie Mellon University
Vijay K. Vasudevan
Vijay K. Vasudevan Google (United States)
Gregory R. Ganger
Gregory R. Ganger Carnegie Mellon University
Andrew Pavlo
Andrew Pavlo Carnegie Mellon University
Michael J. Freedman
Michael J. Freedman Princeton University
Dongsu Han
Dongsu Han Korea Advanced Institute of Science and Technology
Michael Kozuch
Michael Kozuch Intel (United States)
Adrian Perrig
Adrian Perrig ETH Zurich

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