Develops O(1)-competitive learning-augmented scheduling algorithms with O(1) preemptions per job for single and unrelated machines, with logarithmic overhead on prediction error, and first such guarantees for unrelated and malleable machines.
Jobs in Group 1 are dispatched to machines using the Doubling strategy
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Learning-Augmented Online Scheduling with Parsimonious Preemption
Develops O(1)-competitive learning-augmented scheduling algorithms with O(1) preemptions per job for single and unrelated machines, with logarithmic overhead on prediction error, and first such guarantees for unrelated and malleable machines.