Michael J. Freedman

Michael J. Freedman

Princeton University

H-index: 59

North America-United States

About Michael J. Freedman

Michael J. Freedman, With an exceptional h-index of 59 and a recent h-index of 41 (since 2020), a distinguished researcher at Princeton University, specializes in the field of Distributed Systems, Networking, Security.

His recent articles reflect a diverse array of research interests and contributions to the field:

Efficient Compactions between Storage Tiers with PrismDB

{VectorVisor}: A Binary Translation Scheme for {Throughput-Oriented}{GPU} Acceleration

Virtualflow: Decoupling deep learning models from the underlying hardware

Speculative Recovery: Cheap, Highly Available Fault Tolerance with Disaggregated Storage

Compressing data in database systems using hybrid row/column storage representations

Data processing using proof-of-transfer

Network consensus-based data processing

Maintaining up-to-date materialized views for time-series database analytics

Michael J. Freedman Information

University

Position

Professor of Computer Science

Citations(all)

21275

Citations(since 2020)

7003

Cited By

17420

hIndex(all)

59

hIndex(since 2020)

41

i10Index(all)

102

i10Index(since 2020)

73

Email

University Profile Page

Princeton University

Google Scholar

View Google Scholar Profile

Michael J. Freedman Skills & Research Interests

Distributed Systems

Networking

Security

Top articles of Michael J. Freedman

Title

Journal

Author(s)

Publication Date

Efficient Compactions between Storage Tiers with PrismDB

Ashwini Raina

Jianan Lu

Asaf Cidon

Michael J Freedman

2023/3/25

{VectorVisor}: A Binary Translation Scheme for {Throughput-Oriented}{GPU} Acceleration

Samuel Ginzburg

Mohammad Shahrad

Michael J Freedman

2023

Virtualflow: Decoupling deep learning models from the underlying hardware

Proceedings of Machine Learning and Systems

Andrew Or

Haoyu Zhang

Michael None Freedman

2022/4/22

Speculative Recovery: Cheap, Highly Available Fault Tolerance with Disaggregated Storage

Nanqinqin Li

Anja Kalaba

Michael J Freedman

Wyatt Lloyd

Amit Levy

2022

Compressing data in database systems using hybrid row/column storage representations

2021/2/4

Data processing using proof-of-transfer

2021/9/7

Network consensus-based data processing

2021/7/13

Maintaining up-to-date materialized views for time-series database analytics

2021/6/8

Combining compressed and uncompressed data at query time for efficient database analytics

2021/4/13

Querying of materialized views for time-series database analytics

2021/3/30

Type-specific compression in database systems

2021/10/5

Serverless isn't server-less: Measuring and exploiting resource variability on cloud faas platforms

Samuel Ginzburg

Michael J Freedman

2020/12/7

System and method for improving streaming video via better buffer management

2020/9/8

Resource elasticity in distributed deep learning

Andrew Or

Haoyu Zhang

Michael J Freedman

2020/3/2

See List of Professors in Michael J. Freedman University(Princeton University)

Co-Authors

H-index: 161
Scott Shenker

Scott Shenker

University of California, Berkeley

H-index: 117
Jennifer Rexford

Jennifer Rexford

Princeton University

H-index: 88
Robert Morris

Robert Morris

Massachusetts Institute of Technology

H-index: 72
David G. Andersen

David G. Andersen

Carnegie Mellon University

H-index: 70
Edward W. Felten

Edward W. Felten

Princeton University

H-index: 64
Benny Pinkas

Benny Pinkas

Bar-Ilan University

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