Research Article

Workflow applications in GridLab and PROGRESS projects

  1. Michal Kosiedowski*,
  2. Krzysztof Kurowski,
  3. Cezary Mazurek,
  4. Jarek Nabrzyski,
  5. Juliusz Pukacki

Article first published online: 13 DEC 2005

DOI: 10.1002/cpe.999

Issue

Concurrency and Computation: Practice and Experience

Concurrency and Computation: Practice and Experience

Special Issue: Workflow in Grid Systems

Volume 18, Issue 10, pages 1141–1154, 25 August 2006

Additional Information

How to Cite

Kosiedowski, M., Kurowski, K., Mazurek, C., Nabrzyski, J. and Pukacki, J. (2006), Workflow applications in GridLab and PROGRESS projects. Concurrency Computat.: Pract. Exper., 18: 1141–1154. doi: 10.1002/cpe.999

Author Information

  1. Poznañ Supercomputing and Networking Center, Poznañ, Poland

*Poznañ Supercomputing and Networking Center, ul. Noskowskiego 10, 61–704 Poznañ, Poland

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: 23 MAR 2005
  5. Manuscript Received: 1 JUN 2004

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Keywords:

  • Grid resource management;
  • workflow management;
  • workflow engine;
  • job management;
  • DAG;
  • Petri net

Abstract

In this paper we present our motivations and ideas for workflow management based on our experiences gained in two projects: GridLab and PROGRESS. In these projects we have been dealing with real use cases and end users' requirements for workflow management. Therefore, we were able to define and implement functional workflow extensions to the Grid(Lab) Resource Management System (GRMS). GRMS is a resource management system with a workflow engine that executes and manages jobs on remote Grid resources. One can submit to GRMS workflow experiments based on an XML workflow schema, defining flexible mechanisms for dynamic workflow control, including various types of precedence constraints, different locations of the final data products and executables, etc. All of these features allow end users to speed up remote workflow calculations and improve data management mechanisms. Copyright © 2005 John Wiley & Sons, Ltd.

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