World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
8680
World Ranking
8720
National Ranking
3732

Overview

Marty Humphrey is affiliated with the University of Virginia in the United States and primarily works within the field of Computer Science. Their research spans several subfields including Computer Networks and Communications, Information Systems, Computational Mechanics, Atmospheric Science, and Global and Planetary Change.

The scientist's work frequently addresses topics related to Cloud Computing and Resource Management, IoT and Edge/Fog Computing, Software System Performance and Reliability, Plant Water Relations and Carbon Dynamics, Fluid Dynamics and Turbulent Flows, as well as Meteorological Phenomena and Simulations.

Humphrey has coauthored multiple publications alongside collaborators such as Gilberto Pastorello, Carlo Trotta, Eleonora Canfora, Housen Chu, and Danielle Christianson. Their research has appeared in several publication venues, notably including Scientific Data, IEEE Transactions on Cloud Computing, and HortTechnology.

Recent papers by Humphrey include:

  • Quantifying Temperature Effects on Development Rate and Plant Quality of Compact Container-grown Tomato, 2024, HortTechnology
  • The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data, 2020, Scientific Data
  • Author Correction: The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data, 2021, Scientific Data
  • Forecasting Cloud Application Workloads WithCloudInsightfor Predictive Resource Management, 2020, IEEE Transactions on Cloud Computing
  • Guaranteeing Performance SLAs of Cloud Applications Under Resource Storms, 2020, IEEE Transactions on Cloud Computing

Best Publications

  • The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

    Gilberto Pastorello;Carlo Trotta;Eleonora Canfora;Housen Chu

  • Auto-scaling to minimize cost and meet application deadlines in cloud workflows

    Ming Mao;Marty Humphrey

  • A Performance Study on the VM Startup Time in the Cloud

    Ming Mao;Marty Humphrey

  • Cloud auto-scaling with deadline and budget constraints

    Ming Mao;Jie Li;Marty Humphrey

  • The MyProxy online credential repository

    Jim Basney;Marty Humphrey;Von Welch

  • Early observations on the performance of Windows Azure

    Zach Hill;Jie Li;Ming Mao;Arkaitz Ruiz-Alvarez

  • Mobile OGSI.NET: Grid Computing on Mobile Devices

    David C. Chu;Marty Humphrey

  • VEST: an aspect-based composition tool for real-time systems

    J.A. Stankovic;Ruiqing Zhu;R. Poornalingam;Chenyang Lu

  • Security for Grids

    M. Humphrey;M.R. Thompson;K.R. Jackson

  • eScience in the cloud: A MODIS satellite data reprojection and reduction pipeline in the Windows Azure platform

    Jie Li;Marty Humphrey;Deb Agarwal;Keith Jackson

  • Wide area computing: resource sharing on a large scale

    A. Grimshaw;A. Ferrari;F. Knabe;M. Humphrey

  • A quantitative analysis of high performance computing with Amazon's EC2 infrastructure: The death of the local cluster?

    Zach Hill;Marty Humphrey

  • Control-theoretic dynamic frequency and voltage scaling for multimedia workloads

    Zhijian Lu;Jason Hein;Marty Humphrey;Mircea Stan

  • Legion: An Operating System for Wide-Area Computing

    A. Grimshaw;A. Ferrari;F. Knabe;M. Humphrey

  • State and events for Web services: a comparison of five WS-resource framework and WS-notification implementations

    M. Humphrey;G. Wasson;K. Jackson;J. Boverhof

  • LegionFS: A Secure and Scalable File System Supporting Cross-Domain High-Performance Applications

    Brian S. White;Michael Walker;Marty Humphrey;Andrew S. Grimshaw

  • Scaling and Scheduling to Maximize Application Performance within Budget Constraints in Cloud Workflows

    Ming Mao;Marty Humphrey

  • Security Implications of Typical Grid Computing Usage Scenarios

    Marty Humphrey;Mary R. Thompson

  • Extending the security assertion markup language to support delegation for Web services and grid services

    Jun Wang;D. Del Vecchio;M. Humphrey

  • An automated approach to cloud storage service selection

    Arkaitz Ruiz-Alvarez;Marty Humphrey

  • The HPC basic profile and SAGA: standardizing compute grid access in the open grid forum

    Chris Smith;Thilo Kielmann;Steven Newhouse;Marty Humphrey

Frequent Co-Authors

Andrew S. Grimshaw
Andrew S. Grimshaw University of Virginia
John A. Stankovic
John A. Stankovic University of Virginia
Youngryel Ryu
Youngryel Ryu Seoul National University
Dario Papale
Dario Papale Tuscia University
Margaret S. Torn
Margaret S. Torn Lawrence Berkeley National Laboratory
Frans-Jan W. Parmentier
Frans-Jan W. Parmentier University of Oslo
Annalea Lohila
Annalea Lohila Finnish Meteorological Institute
Sean P. Burns
Sean P. Burns University of Colorado Boulder
Markus Reichstein
Markus Reichstein Max Planck Institute for Biogeochemistry
Dennis D. Baldocchi
Dennis D. Baldocchi University of California, Berkeley

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