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Scheduling Strategies for Mapping Application Workflows onto the Grid Anirban Mandal, Ken Kennedy, Charles Koelbel,
 

Summary: Scheduling Strategies for Mapping Application Workflows onto the Grid
Anirban Mandal, Ken Kennedy, Charles Koelbel,
Gabriel Marin, John Mellor-Crummey
Department of Computer Science, Rice University,
Houston, TX 77005, USA
{anirban, ken, chk, mgabi, johnmc}@cs.rice.edu
Bo Liu, Lennart Johnsson
Department of Computer Science,
University of Houston,
Houston, TX 77204, USA
{boliu,johnsson}@cs.uh.edu
Abstract
In this work, we describe new strategies for scheduling
and executing Workflow applications on Grid resources us-
ing the GrADS [18] infrastructure. Workflow scheduling is
based on heuristic scheduling strategies that use applica-
tion component performance models. The Workflow is exe-
cuted using a novel strategy to bind and launch the appli-
cation onto heterogeneous resources. We apply these strate-
gies in the context of executing EMAN, a Bio-imaging work-

  

Source: Agrawal, Gagan - Department of Computer Science and Engineering, Ohio State University
Marin, Gabriel - Computer Science and Mathematics Division, Oak Ridge National Laboratory

 

Collections: Computer Technologies and Information Sciences