Research Article

Programming scientific and distributed workflow with Triana services

  1. David Churches1,
  2. Gabor Gombas2,
  3. Andrew Harrison3,
  4. Jason Maassen4,
  5. Craig Robinson1,3,
  6. Matthew Shields1,3,*,
  7. Ian Taylor3,
  8. Ian Wang1,3

Article first published online: 13 DEC 2005

DOI: 10.1002/cpe.992

Issue

Concurrency and Computation: Practice and Experience

Concurrency and Computation: Practice and Experience

Special Issue: Workflow in Grid Systems

Volume 18, Issue 10, pages 1021–1037, 25 August 2006

Additional Information

How to Cite

Churches, D., Gombas, G., Harrison, A., Maassen, J., Robinson, C., Shields, M., Taylor, I. and Wang, I. (2006), Programming scientific and distributed workflow with Triana services. Concurrency Computat.: Pract. Exper., 18: 1021–1037. doi: 10.1002/cpe.992

Author Information

  1. 1

    School of Physics and Astronomy, Cardiff University, Cardiff, U.K.

  2. 2

    Laboratory of Parallel and Distributed Systems, MTA SZTAKI, Computer and Automation Research Institute of the Hungarian Academy of Sciences, Budapest, Hungary

  3. 3

    School of Computer Science, Cardiff University, Cardiff, U.K.

  4. 4

    Department of Computer Science, Vrije Universiteit, Amsterdam, The Netherlands

*School of Physics and Astronomy, Cardiff University, 5 The Parade, Cardiff CF24 3YB, U.K.

Publication History

  1. Issue published online: 19 JUL 2006
  2. Article first published online: 13 DEC 2005
  3. Manuscript Accepted: 27 APR 2005
  4. Manuscript Revised: 11 MAR 2005
  5. Manuscript Received: 17 JUL 2004

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Keywords:

  • Triana;
  • distributed systems;
  • Grid;
  • workflow;
  • peer-to-peer

Abstract

In this paper, we discuss a real-world application scenario that uses three distinct types of workflow within the Triana problem-solving environment: serial scientific workflow for the data processing of gravitational wave signals; job submission workflows that execute Triana services on a testbed; and monitoring workflows that examine and modify the behaviour of the executing application. We briefly describe the Triana distribution mechanisms and the underlying architectures that we can support. Our middleware independent abstraction layer, called the Grid Application Prototype (GAP), enables us to advertise, discover and communicate with Web and peer-to-peer (P2P) services. We show how gravitational wave search algorithms have been implemented to distribute both the search computation and data across the European GridLab testbed, using a combination of Web services, Globus interaction and P2P infrastructures. Copyright © 2005 John Wiley & Sons, Ltd.

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