World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
90
Citations
21883
World Ranking
621
National Ranking
328

Research.com Recognitions

  • 2011 - IEEE Fellow For contributions to metadata integrity in file systems
  • 2007 - ACM Distinguished Member

Overview

Gregory R. Ganger is affiliated with Carnegie Mellon University in the United States, focusing primarily on computer science research. Their work spans various subfields within computer science, including computer networks and communications, information systems, artificial intelligence, materials chemistry, and computational theory and mathematics.

The scientist's research topics cover multiple advanced areas, prominently featuring advanced data storage technologies, cloud computing and resource management, caching and content delivery, stochastic gradient optimization techniques, cloud data security solutions, distributed and parallel computing systems, and age of information optimization.

Recent publications illustrate a consistent interest in cluster scheduling, storage systems, and energy efficiency in computing. Selected papers include:

  • Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning, 2020, arXiv (Cornell University)
  • The Case for Custom Storage Backends in Distributed Storage Systems, 2020, ACM Transactions on Storage
  • A Call for Research on Storage Emissions, 2024, ACM SIGEnergy Energy Informatics Review
  • PACEMAKER: Avoiding HeART attacks in storage clusters with disk-adaptive redundancy, 2021, arXiv (Cornell University)

These works reflect contributions to both theoretical and applied aspects of data storage, cluster scheduling, and storage system sustainability.

Gregory R. Ganger collaborates frequently with other researchers. Notable co-authors include George Amvrosiadis, Sara McAllister, Nathan Beckmann, Suhas Jayaram Subramanya, and Daniel S. Berger.

The scientist has published extensively in venues such as arXiv (Cornell University), ACM Transactions on Storage, ACM SIGEnergy Energy Informatics Review, IEEE International Conference on High Performance Computing, Data, and Analytics, and UNC Libraries.

Recognition for contributions to the field includes being named an IEEE Fellow in 2011 for contributions to metadata integrity in file systems and an ACM Distinguished Member since 2007.

Best Publications

  • Heterogeneity and dynamicity of clouds at scale: Google trace analysis

    Charles Reiss;Alexey Tumanov;Gregory R. Ganger;Randy H. Katz

  • Object-based storage

    M. Mesnier;G.R. Ganger;E. Riedel

  • PipeDream: generalized pipeline parallelism for DNN training

    Deepak Narayanan;Aaron Harlap;Amar Phanishayee;Vivek Seshadri

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

    Vijay Vasudevan;Amar Phanishayee;Hiral Shah;Elie Krevat

  • Fault-scalable Byzantine fault-tolerant services

    Michael Abd-El-Malek;Gregory R. Ganger;Garth R. Goodson;Michael K. Reiter

  • The DiskSim Simulation Environment Version 4.0 Reference Manual

    John S. Bucy;Jiri Schindler;Steven W. Schlosser;Gregory R. Ganger

  • Application performance and flexibility on exokernel systems

    M. Frans Kaashoek;Dawson R. Engler;Gregory R. Ganger;Hector M. Briceño

  • Journaling versus soft updates: asynchronous meta-data protection in file systems

    Margo I. Seltzer;Gregory R. Ganger;M. Kirk McKusick;Keith A. Smith

  • Scheduling algorithms for modern disk drives

    Bruce L. Worthington;Gregory R. Ganger;Yale N. Patt

  • Self-securing storage: protecting data in compromised system

    John D. Strunk;Garth R. Goodson;Michael L. Scheinholtz;Craig A. N. Soules

  • Survivable information storage systems

    J.J. Wylie;M.W. Bigrigg;J.D. Strunk;G.R. Ganger

  • Metadata Efficiency in Versioning File Systems

    Craig A. N. Soules;Garth R. Goodson;John D. Strunk;Gregory R. Ganger

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

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

  • GeePS: scalable deep learning on distributed GPUs with a GPU-specialized parameter server

    Henggang Cui;Hao Zhang;Gregory R. Ganger;Phillip B. Gibbons

  • Gaia: geo-distributed machine learning approaching LAN speeds

    Kevin Hsieh;Aaron Harlap;Nandita Vijaykumar;Dimitris Konomis

  • On-line extraction of SCSI disk drive parameters

    Bruce L. Worthington;Gregory R. Ganger;Yale N. Patt;John Wilkes

  • Argon: performance insulation for shared storage servers

    Matthew Wachs;Michael Abd-El-Malek;Eno Thereska;Gregory R. Ganger

  • Robust and flexible power-proportional storage

    Hrishikesh Amur;James Cipar;Varun Gupta;Gregory R. Ganger

  • Metadata Efficiency in a Comprehensive Versioning File System

    Craig A Soules;Garth R Goodson;John D Strunk;Gregory R Ganger

  • Efficient Byzantine-tolerant erasure-coded storage

    G.R. Goodson;J.J. Wylie;G.R. Ganger;M.K. Reiter

Frequent Co-Authors

Michael K. Reiter
Michael K. Reiter Duke University
Garth A. Gibson
Garth A. Gibson Carnegie Mellon University
Yale N. Patt
Yale N. Patt The University of Texas at Austin
Michael Kozuch
Michael Kozuch Intel (United States)
Phillip B. Gibbons
Phillip B. Gibbons Carnegie Mellon University
Christos Faloutsos
Christos Faloutsos Carnegie Mellon University
David G. Andersen
David G. Andersen Carnegie Mellon University
Eric P. Xing
Eric P. Xing Mohamed bin Zayed University of Artificial Intelligence
Vijay K. Vasudevan
Vijay K. Vasudevan Google (United States)
Pradeep K. Khosla
Pradeep K. Khosla University of California, San Diego

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