Scheduling of scientific workflows in the ASKALON grid environment

  • Authors:
  • Marek Wieczorek;Radu Prodan;Thomas Fahringer

  • Affiliations:
  • University of Innsbruck, Innsbruck, Austria;University of Innsbruck, Innsbruck, Austria;University of Innsbruck, Innsbruck, Austria

  • Venue:
  • ACM SIGMOD Record
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

Scheduling is a key concern for the execution of performance-driven Grid applications. In this paper we comparatively examine different existing approaches for scheduling of scientific workflow applications in a Grid environment. We evaluate three algorithms namely genetic, HEFT, and simple "myopic" and compare incremental workflow partitioning against the full-graph scheduling strategy. We demonstrate experiments using real-world scientific applications covering both balanced (symmetric) and unbalanced (asymmetric) workflows. Our results demonstrate that full-graph scheduling with the HEFT algorithm performs best compared to the other strategies examined in this paper.