Journal of Grid Computing

, Volume 10, Issue 3, pp 367–393 | Cite as

A Distributed Workflow Management System with Case Study of Real-life Scientific Applications on Grids

  • Qishi WuEmail author
  • Mengxia Zhu
  • Yi Gu
  • Patrick Brown
  • Xukang Lu
  • Wuyin Lin
  • Yangang Liu


Next-generation scientific applications feature complex workflows comprised of many computing modules with intricate inter-module dependencies. Supporting such scientific workflows in wide-area networks especially Grids and optimizing their performance are crucial to the success of collaborative scientific discovery. We develop a Scientific Workflow Automation and Management Platform (SWAMP), which enables scientists to conveniently assemble, execute, monitor, control, and steer computing workflows in distributed environments via a unified web-based user interface. The SWAMP architecture is built entirely on a seamless composition of web services: the functionalities of its own are provided and its interactions with other tools or systems are enabled through web services for easy access over standard Internet protocols while being independent of different platforms and programming languages. SWAMP also incorporates a class of efficient workflow mapping schemes to achieve optimal end-to-end performance based on rigorous performance modeling and algorithm design. The performance superiority of SWAMP over existing workflow mapping schemes is justified by extensive simulations, and the system efficacy is illustrated by large-scale experiments on real-life scientific workflows for climate modeling through effective system implementation, deployment, and testing on the Open Science Grid.


Distributed computing Scientific workflow Climate modeling Open Science Grid 


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Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  • Qishi Wu
    • 1
    Email author
  • Mengxia Zhu
    • 2
  • Yi Gu
    • 3
  • Patrick Brown
    • 2
  • Xukang Lu
    • 1
  • Wuyin Lin
    • 4
  • Yangang Liu
    • 4
  1. 1.Department of Computer ScienceUniversity of MemphisMemphisUSA
  2. 2.Department of Computer ScienceSouthern Illinois UniversityCarbondaleUSA
  3. 3.Dept of Management, Marketing, Computer Science, and Information SystemsUniversity of Tennessee at MartinMartinUSA
  4. 4.Atmospheric Science DivisionBrookhaven National LaboratoryUptonUSA

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