World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
16312
World Ranking
5221
National Ranking
2400

Overview

Rich Wolski is affiliated with the University of California, Santa Barbara in the United States. Their research work spans primarily across the field of Computer Science, with focused contributions in several subfields including Information Systems, Computer Networks and Communications, Information Systems and Management, Computer Vision and Pattern Recognition, and Environmental Engineering.

The main topics of Wolski's research cover Cloud Computing and Resource Management, IoT and Edge/Fog Computing, Scientific Computing and Data Management, Blockchain Technology Applications and Security, Software Engineering Techniques and Practices, Distributed and Parallel Computing Systems, and Software System Performance and Reliability.

Wolski has published research in a variety of venues. Notable frequent publication venues include Software Practice and Experience, arXiv (Cornell University), Practice and Experience in Advanced Research Computing, Journal of Edge Computing, and Sensors.

Selected recent papers authored or coauthored by Wolski include:

  • Edge-adaptable serverless acceleration for machine learning Internet of Things applications, 2020, Software Practice and Experience
  • On the Future of Cloud Engineering, 2021, Enlighten: Publications (The University of Glasgow)
  • Reproducible and Portable Workflows for Scientific Computing and HPC in the Cloud, 2020, Practice and Experience in Advanced Research Computing
  • Collaborative experience between scientific software projects using Agile Scrum development, 2022, Software Practice and Experience
  • Collaborative Experience between Scientific Software Projects using Agile Scrum Development, 2021, arXiv (Cornell University)

Frequent coauthors in Wolski's publications include Chandra Krintz, Adam Brazier, Michael Zhang, Amanda L. Baxter, and S. BenZvi.

Best Publications

  • The Eucalyptus Open-Source Cloud-Computing System

    Daniel Nurmi;Rich Wolski;Chris Grzegorczyk;Graziano Obertelli

  • The network weather service: a distributed resource performance forecasting service for metacomputing

    Rich Wolski;Neil T. Spring;Jim Hayes

  • Application-Level Scheduling on Distributed Heterogeneous Networks

    Francine D. Berman;Rich Wolski;Silvia Figueira;Jennifer Schopf

  • Adaptive computing on the Grid using AppLeS

    F. Berman;R. Wolski;H. Casanova;W. Cirne

  • Dynamically forecasting network performance using the Network Weather Service

    Rich Wolski

  • The AppLeS Parameter Sweep Template: User-Level Middleware for the Grid

    H. Casanova;F. Berman;G. Obertelli;R. Wolski

  • Analyzing Market-Based Resource Allocation Strategies for the Computational Grid

    Rich Wolski;James S. Plank;John Brevik;Todd Bryan

  • The GrADS Project: Software Support for High-Level Grid Application Development

    Francine Berman;Andrew Chien;Keith Cooper;Jack Dongarra

  • The AppLeS Parameter Sweep Template: User-Level Middleware for the Grid

    Unknown

  • Predicting the CPU availability of time-shared Unix systems on the computational grid

    Rich Wolski;Neil Spring;Jim Hayes

  • Forecasting network performance to support dynamic scheduling using the network weather service

    R. Wolski

  • G-commerce: market formulations controlling resource allocation on the computational grid

    R. Wolski;J.S. Plank;T. Bryan;J. Brevik

  • Modeling machine availability in enterprise and wide-area distributed computing environments

    Daniel Nurmi;John Brevik;Rich Wolski

  • Experiences with predicting resource performance on-line in computational grid settings

    Rich Wolski

  • Implementing a Performance Forecasting System for Metacomputing The Network Weather Service

    Rich Wolski;Neil Spring;Chris Peterson

  • Scheduling from the perspective of the application

    F. Berman;R. Wolski

  • Grid Resource Allocation and Control Using Computational Economies

    Rich Wolski;John Brevik;James S. Plank;Todd Bryan

  • Toward a framework for preparing and executing adaptive grid programs

    K. Kennedy;M. Mazina;J. Mellor-Crummey;K. Cooper

  • Using bandwidth data to make computation offloading decisions

    R. Wolski;S. Gurun;C. Krintz;D. Nurmi

  • Master/slave computing on the Grid

    G. Shao;F. Berman;R. Wolski

  • Paravirtualization for HPC systems

    Lamia Youseff;Rich Wolski;Brent Gorda;Chandra Krintz

Frequent Co-Authors

James S. Plank
James S. Plank University of Tennessee at Knoxville
Francine Berman
Francine Berman Rensselaer Polytechnic Institute
Jack Dongarra
Jack Dongarra University of Tennessee at Knoxville
Henri Casanova
Henri Casanova University of Hawaii at Manoa
Neil Spring
Neil Spring University of Maryland, College Park
Ian Foster
Ian Foster University of Chicago
Dennis Gannon
Dennis Gannon Indiana University
Carl Kesselman
Carl Kesselman University of Southern California
Andrew A. Chien
Andrew A. Chien University of Chicago
Kyle Chard
Kyle Chard University of Chicago

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