We consider the problem of scheduling an application composed of independent tasks on a fully heterogeneous master-worker platform with communication costs. We introduce a bi-criteria approach aiming at maximizing the throughput of the application while minimizing the energy consumed by participating resources. Assuming arbitrary super-linear power consumption laws, we investigate different models for energy consumption, with and without start-up overheads. Building upon closed-form expressions for the uniprocessor case, we derive optimal or asymptotically optimal solutions for both models. © 2009 Springer.
CITATION STYLE
Pineau, J. F., Robert, Y., & Vivien, F. (2009). Energy-aware scheduling of flow applications on master-worker platforms. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5704 LNCS, pp. 281–292). https://doi.org/10.1007/978-3-642-03869-3_28
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