The allocation of resources to jobs running on e-Science infrastructures is a key issue for scientific communities. In order to provide a better efficiency of computational jobs we propose an SLA-aware architecture. The core of this architecture is a scheduler relying on resource performance information. For performance characterization we propose a two-level benchmark that includes tests corresponding to specific e-Science applications. In order to evaluate the proposal we present simulation results for the proposed architecture. © 2012 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Galizia, A., Quarati, A., Schiffers, M., & Yampolskiy, M. (2012). Influences between performance based scheduling and service level agreements. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7156 LNCS, pp. 96–105). Springer Verlag. https://doi.org/10.1007/978-3-642-29740-3_12
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