Workflow-Level parametric study support by MOTEUR and the P-GRADE portal

Tristan Glatard, Gergely Sipos, Johan Montagnat, Zoltan Farkas, Peter Kacsuk

Research output: Chapter in Book/Report/Conference proceedingChapter

6 Citations (Scopus)

Abstract

Many large-scale scientific applications require the processing of complete data sets made of individual data segments that can be manipulated independently following a single analysis procedure. Workflow managers have been designed for describing and controlling such complex application control flows. However, when considering very data-intensive applications, there is a large potential parallelism that should be properly exploited to ensure efficient processing. Distributed systems such as Grid infrastructures are promising for handling the load resulting from parallel data analysis and manipulation. Workflow managers can help in exploiting the infrastructure parallelism, given that they are able to handle the data flow resulting from the application's execution.

Original languageEnglish
Title of host publicationWorkflows for e-Science
Subtitle of host publicationScientific Workflows for Grids
PublisherSpringer London
Pages279-299
Number of pages21
ISBN (Print)9781846285196
DOIs
Publication statusPublished - Dec 1 2007

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ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Glatard, T., Sipos, G., Montagnat, J., Farkas, Z., & Kacsuk, P. (2007). Workflow-Level parametric study support by MOTEUR and the P-GRADE portal. In Workflows for e-Science: Scientific Workflows for Grids (pp. 279-299). Springer London. https://doi.org/10.1007/978-1-84628-757-2_18