A Tighter Extra-Resource Analysis of Online Deadline Scheduling
Tak-Wah Lam, Tsuen-Wan Johnny Ngan, and Kar-Keung To
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Abstract.
This paper is concerned with online algorithms for scheduling jobs with
deadlines on a single processor. It has been known for long that unless
the system is underloaded, no online scheduling algorithm can be
1-competitive, i.e., matching the performance of the optimal offline
algorithm. Nevertheless, recent work has revealed that some online
algorithms using a moderately faster processor (or extra processors) can
guarantee very competitive performance or even be 1-competitive.
This paper takes a further step to investigate online scheduling
algorithms with an even higher performance guarantee (i.e., better than
1-competitive algorithms) and in particular, presents an extra-resource
analysis of the earliest-deadline-first strategy (EDF) with respect to
such a higher performance guarantee.
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