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Generalization of EDF and LLF: Identifying All Optimal Online Algorithms for Minimizing Maximum Lateness
Authors:Patchrawat “Patch” Uthaisombut
Affiliation:(1) Department of Computer Science, University of Pittsburgh, Pittsburgh, USA
Abstract:It is well known that the Earliest-Deadline-First (EDF) and the Least-Laxity-First (LLF) algorithms are optimal algorithms for the problem of preemptively scheduling jobs that arrive over time on a single machine to minimize the maximum lateness (1|r j ,pmtn|L max ). It was not previously known what other online algorithms are optimal for this problem. As this problem is fundamental in machine scheduling, it deserves a thorough investigation. In this paper, the concept of compound laxity is introduced, and a complete characterization of all optimal online algorithms for this problem is derived.
Keywords:Machine scheduling  Scheduling algorithms  Online algorithms  Compound laxity  Laxity  EDF  Earliest deadline first  Maximum lateness
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