Scheduling of Scientific Workflows in the ASKALON Grid Environment Marek Wieczorek, Radu Prodan, and Thomas Fahringer   View Paper (PDF)   Return to September 2005, Volume 34, Number 3 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. ©2006 Association for Computing Machinery