The Grid Backfilling : a Multi-site Scheduling Architecture with Data Mining Prediction Techniques

@inproceedings{Guim2007TheGB,
  title={The Grid Backfilling : a Multi-site Scheduling Architecture with Data Mining Prediction Techniques},
  author={Francesc Guim and Ivan Rodero and Julita Corbal{\'a}n},
  year={2007}
}
In large Grids, like the National Grid Service (NGS), or large distributed ar chitecture different scheduling entities are involved. Despite a global sched uling approach would archive higher performance and could increment th utilization of global system in these scenarios usually independent schedulers ca rry out its own scheduling decisions. In this paper we present how a coordinated scheduling among all the diff erent centers using data mining prediction techniques can substantially improv… CONTINUE READING
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