Blacklist muti-objective genetic algorithm for energy saving in heterogeneous environments

@article{Gabaldon2016BlacklistMG,
  title={Blacklist muti-objective genetic algorithm for energy saving in heterogeneous environments},
  author={Eloi Gabaldon and Josep L. L{\'e}rida and Fernando Guirado and Jordi Planes},
  journal={The Journal of Supercomputing},
  year={2016},
  volume={73},
  pages={354-369}
}
Reducing energy consumption in large-scale computing facilities has become a major concern in recent years. Most of the techniques have focused on determining the computing requirements based on load predictions and thus turning unnecessary nodes on and off. Nevertheless, once the available resources have been configured, new opportunities arise for reducing energy consumption by providing optimal matching of parallel applications to the available computing nodes. Current research in scheduling… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 30 references

Fairness scheduling for multi-cluster systems based on linear programming

  • H Blanco, A Montañola, F Guirado, JL Lerida
  • CMMSE
  • 2010
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