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.
['Antonella Galizia', 'Alfonso Quarati', 'Michael Schiffers', 'Mark Yampolskiy']
Influences between performance based scheduling and service level agreements