Adaptive energy efficient scheduling in Peer-to-Peer desktop grids
We consider non-preemptive scheduling on heterogeneous grids with uncertainty. We use task replications to overcome possible bad resource allocation. Analyze energy consumption exploring the replication thresholds. Dynamically adapt replication threshold to cope with different objective preferences. Two-objective optimization analysis with Pareto set and Set Coverage metric.
desktop grid energy-aware scheduling knowledge-free resource management peer-to-peer computing job allocation