World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
9176
World Ranking
11016
National Ranking
4584

Research.com Recognitions

  • 2018 - Fellow of Alfred P. Sloan Foundation

Overview

Andrew Pavlo is affiliated with Carnegie Mellon University in the United States and has contributed extensively to the field of computer science, focusing on areas such as computer networks and communications, information systems, and artificial intelligence. Their research spans several subfields including information systems and management, as well as signal processing.

The main topics covered in Pavlo's work involve advanced data storage technologies, cloud computing and resource management, distributed systems and fault tolerance, advanced database systems and queries, software system performance and reliability, data stream mining techniques, and distributed and parallel computing systems.

Pavlo has published numerous papers in well-known venues, with a concentration on these publication outlets:

  • Proceedings of the VLDB Endowment
  • arXiv (Cornell University)
  • ACM SIGMOD Record
  • Communications of the ACM
  • Proceedings of the 2022 International Conference on Management of Data

Recent notable publications by Pavlo include:

  • "Make your database system dream of electric sheep," 2021, Proceedings of the VLDB Endowment
  • "An inquiry into machine learning-based automatic configuration tuning services on real-world database management systems," 2021, Proceedings of the VLDB Endowment
  • "The Seattle Report on Database Research," 2020, ACM SIGMOD Record
  • "The Seattle report on database research," 2022, Communications of the ACM
  • "An Empirical Evaluation of Columnar Storage Formats," 2023, Proceedings of the VLDB Endowment

Pavlo has collaborated frequently with several co-authors, including:

  • Matthew Butrovich
  • Wan Shen Lim
  • Jignesh M. Patel
  • William Zhang
  • Huanchen Zhang

In recognition of their work, Pavlo was named a Fellow of the Alfred P. Sloan Foundation in 2018.

Best Publications

  • A comparison of approaches to large-scale data analysis

    Andrew Pavlo;Erik Paulson;Alexander Rasin;Daniel J. Abadi

  • H-store: a high-performance, distributed main memory transaction processing system

    Robert Kallman;Hideaki Kimura;Jonathan Natkins;Andrew Pavlo

  • MapReduce and parallel DBMSs: friends or foes?

    Michael Stonebraker;Daniel Abadi;David J. DeWitt;Sam Madden

  • Automatic Database Management System Tuning Through Large-scale Machine Learning

    Dana Van Aken;Andrew Pavlo;Geoffrey J. Gordon;Bohan Zhang

  • OLTP-Bench: an extensible testbed for benchmarking relational databases

    Djellel Eddine Difallah;Andrew Pavlo;Carlo Curino;Philippe Cudre-Mauroux

  • Skew-aware automatic database partitioning in shared-nothing, parallel OLTP systems

    Andrew Pavlo;Carlo Curino;Stanley Zdonik

  • Staring into the abyss: an evaluation of concurrency control with one thousand cores

    Xiangyao Yu;George Bezerra;Andrew Pavlo;Srinivas Devadas

  • Let's Talk About Storage & Recovery Methods for Non-Volatile Memory Database Systems

    Joy Arulraj;Andrew Pavlo;Subramanya R. Dulloor

  • Self-Driving Database Management Systems.

    Andrew Pavlo;Gustavo Angulo;Joy Arulraj;Haibin Lin

  • What's Really New with NewSQL?

    Andrew Pavlo;Matthew Aslett

  • Query-based Workload Forecasting for Self-Driving Database Management Systems

    Lin Ma;Dana Van Aken;Ahmed Hefny;Gustavo Mezerhane

  • E-store: fine-grained elastic partitioning for distributed transaction processing systems

    Rebecca Taft;Essam Mansour;Marco Serafini;Jennie Duggan

  • An empirical evaluation of in-memory multi-version concurrency control

    Yingjun Wu;Joy Arulraj;Jiexi Lin;Ran Xian

  • TicToc: Time Traveling Optimistic Concurrency Control

    Xiangyao Yu;Andrew Pavlo;Daniel Sanchez;Srinivas Devadas

  • SuRF: Practical Range Query Filtering with Fast Succinct Tries

    Huanchen Zhang;Hyeontaek Lim;Viktor Leis;David G. Andersen

  • Anti-caching: a new approach to database management system architecture

    Justin DeBrabant;Andrew Pavlo;Stephen Tu;Michael Stonebraker

  • Bridging the Archipelago between Row-Stores and Column-Stores for Hybrid Workloads

    Joy Arulraj;Andrew Pavlo;Prashanth Menon

  • Reducing the Storage Overhead of Main-Memory OLTP Databases with Hybrid Indexes

    Huanchen Zhang;David G. Andersen;Andrew Pavlo;Michael Kaminsky

  • Write-behind logging

    Joy Arulraj;Matthew Perron;Andrew Pavlo

  • An evaluation of distributed concurrency control

    Rachael Harding;Dana Van Aken;Andrew Pavlo;Michael Stonebraker

Frequent Co-Authors

David G. Andersen
David G. Andersen Carnegie Mellon University
Stanley B. Zdonik
Stanley B. Zdonik Brown University
Michael Kaminsky
Michael Kaminsky Carnegie Mellon University
Daniel J. Abadi
Daniel J. Abadi University of Maryland, College Park
Kimberly Keeton
Kimberly Keeton Google (United States)
Carlo Curino
Carlo Curino Microsoft (United States)

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