Abstract
The execution of scientific workflows in Grid environments imposes many challenges due to the dynamic nature of such environments and the characteristics of scientific applications. This work presents an algorithm that dynamically schedules tasks of workflows to Grid sites based on the performance of these sites when running previous jobs from the same workflow. The algorithm captures the dynamic characteristics of Grid environments without the need to probe the remote sites. We evaluated the algorithm running a workflow in the Open Science Grid using twelve sites. The results showed improvements up to 150% relative to other four usual scheduling strategies. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Meyer, L., Scheftner, D., Vöckler, J., Mattoso, M., Wilde, M., & Foster, I. (2007). An opportunistic algorithm for scheduling workflows on grids. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4395 LNCS, pp. 1–12). Springer Verlag. https://doi.org/10.1007/978-3-540-71351-7_1
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