Balancing Quality and Performance of Task Distribution in Workflow Based on Resource Aptitude

Authors:
Renê Rodrigues Veloso;Autran Macêdo
Affiliations:
FACIT - College of Science and Technology, Department of Computer Engineering, Brazil;Federal University of Uberlandia, School of Computing, Brazil
Venue:
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
Year:
2007

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Abstract

The distribution of tasks in a workflow system, in general, does not consider resource aptitude. Resources that share the same role in a workflow can have different degrees of aptitude to a task. This work proposes an extension to task distribution strategies and presents the use of this extension in the selection of resources to tasks. The experiments presented here demonstrate the effectiveness of the extension. A comparison with traditional strategies has shown gains in terms of time and quality of tasks executed.