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Scheduling to Minimize Average Completion Time Revisited: Deterministic On-line Algorithms
2003
Social Science Research Network
We consider the scheduling problem of minimizing the average weighted completion time on identical parallel machines when jobs are arriving over time. For both the preemptive and the nonpreemptive setting, we show that straightforward extensions of Smith's ratio rule yield smaller competitive ratios compared to the previously best-known deterministic on-line algorithms, which are (4 + ε)-competitive in either case. Our preemptive algorithm is 2-competitive, which actually meets the competitive
doi:10.2139/ssrn.460981
fatcat:fs74k2hdg5b73nfary3pmp7yji