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

  • Glatard T
  • Sipos G
  • Montagnat J
 et al. 
  • 9

    Readers

    Mendeley users who have this article in their library.
  • 6

    Citations

    Citations of this article.

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.

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

Authors

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free