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Computer Science

D-Index
31
Citations
8068
World Ranking
13364
National Ranking
5350

Overview

Douglas Thain is affiliated with the University of Notre Dame in the United States. Their research primarily falls within the field of Computer Science, with a focus on several subfields including Computer Networks and Communications, Hardware and Architecture, Information Systems and Management, Information Systems, and Nuclear and High Energy Physics.

Their research topics cover a diverse range of areas such as:

  • Distributed and Parallel Computing Systems
  • Scientific Computing and Data Management
  • Research Data Management Practices
  • Advanced Data Storage Technologies
  • Parallel Computing and Optimization Techniques
  • Particle physics theoretical and experimental studies
  • Embedded Systems Design Techniques

Douglas Thain has published extensively in notable venues, including:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • EPJ Web of Conferences
  • Future Generation Computer Systems
  • 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)

Some of the recent papers authored or co-authored by Douglas Thain are:

  • Workflows Community Summit: Bringing the Scientific Workflows Community Together, 2021, arXiv (Cornell University)
  • Workflows Community Summit 2022: A Roadmap Revolution, 2023, arXiv (Cornell University)
  • Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development, 2021, arXiv (Cornell University)
  • A terminology for scientific workflow systems, 2025, Future Generation Computer Systems
  • Dynamic Task Shaping for High Throughput Data Analysis Applications in High Energy Physics, 2022, 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)

Frequent collaborators on their research include:

  • Kyle Chard
  • Benjamín Tovar
  • Rafael Ferreira da Silva
  • Carole Goble
  • Rosa M. Badía

Best Publications

  • Distributed computing in practice: the Condor experience

    Douglas Thain;Todd Tannenbaum;Miron Livny

  • Condor and the Grid

    Douglas Thain;Todd Tannenbaum;Miron Livny

  • A Comparison and Critique of Eucalyptus, OpenNebula and Nimbus

    Peter Sempolinski;Douglas Thain

  • Qthreads: An API for programming with millions of lightweight threads

    K.B. Wheeler;R.C. Murphy;D. Thain

  • Makeflow: a portable abstraction for data intensive computing on clusters, clouds, and grids

    Michael Albrecht;Patrick Donnelly;Peter Bui;Douglas Thain

  • Integrating Containers into Workflows: A Case Study Using Makeflow, Work Queue, and Docker

    Charles Zheng;Douglas Thain

  • The Kangaroo approach to data movement on the Grid

    D. Thain;J. Basney;Se-Chang Son;M. Livny

  • Explicit control a batch-aware distributed file system

    John Bent;Douglas Thain;Andrea C. Arpaci-Dusseau;Remzi H. Arpaci-Dusseau

  • All-pairs: An abstraction for data-intensive cloud computing

    C. Moretti;J. Bulosan;D. Thain;P.J. Flynn

  • Distributed computing in practice: the Condor experience: Research Articles

    Douglas Thain;Todd Tannenbaum;Miron Livny

  • Reproducibility in Scientific Computing

    Peter Ivie;Douglas Thain

  • Parrot: Transparent User-Level Middleware for Data-Intensive Computing

    Douglas Thain;Miron Livny

  • All-Pairs: An Abstraction for Data-Intensive Computing on Campus Grids

    C. Moretti;Hoang Bui;K. Hollingsworth;B. Rich

  • Chirp: a practical global filesystem for cluster and Grid computing

    Douglas Thain;Christopher M. Moretti;Jeffrey Hemmes

  • The quest for scalable support of data-intensive workloads in distributed systems

    Ioan Raicu;Ian T. Foster;Yong Zhao;Philip Little

  • Scaling up Classifiers to Cloud Computers

    C. Moretti;K. Steinhaeuser;D. Thain;N.V. Chawla

  • Gathering at the Well: Creating Communities for Grid I/O

    Douglas Thain;John Bent;Andrea Arpaci-Dusseau;Remzi Arpaci-Dusseau

  • XtremWeb & Condor : sharing resources between Internet connected Condor pool

    O. Lodygensky;G. Fedak;F. Cappello;V. Neri

  • Pipeline and batch sharing in grid workloads

    D. Thain;J. Bent;A.C. Arpaci-Dusseau;R.H. Arpaci-Dusseau

  • Middleware support for many-task computing

    Ioan Raicu;Ian Foster;Mike Wilde;Zhao Zhang

  • Converting a High Performance Application to an Elastic Cloud Application

    Dinesh Rajan;Anthony Canino;Jesus A. Izaguirre;Douglas Thain

  • Parrot: Transparent User-Level Middleware for Data-Intensive Computing (Revised February 2004)

    Douglas Thain;Miron Livny

Frequent Co-Authors

Miron Livny
Miron Livny University of Wisconsin–Madison
Patrick J. Flynn
Patrick J. Flynn University of Notre Dame
Kyle Chard
Kyle Chard University of Chicago
Nitesh V. Chawla
Nitesh V. Chawla University of Notre Dame
Daniel S. Katz
Daniel S. Katz University of Illinois at Urbana-Champaign
Ahsan Kareem
Ahsan Kareem University of Notre Dame
Ewa Deelman
Ewa Deelman University of Southern California
Remzi H. Arpaci-Dusseau
Remzi H. Arpaci-Dusseau University of Wisconsin–Madison
Thomas Fahringer
Thomas Fahringer University of Innsbruck
Andrea C. Arpaci-Dusseau
Andrea C. Arpaci-Dusseau University of Wisconsin–Madison

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