The Power of α-Points in Preemptive Single Machine Scheduling

dc.contributor.authorSchulz, Andreas S.
dc.contributor.authorSkutella, Martin
dc.date.accessioned2021-12-17T10:16:52Z
dc.date.available2021-12-17T10:16:52Z
dc.date.issued1999
dc.description.abstractWe consider the NP-hard preemptive single machine scheduling problem to minimize the total weighted completion time subject to release dates. A natural extension of Smith's ratio rule is to preempt the currently active job whenever a new job arrives that has higher ratio of weight to processing time. We prove that the competitive ratio of this simple on-line algorithm is precisely~2. We also show that list scheduling in order of random α-points drawn from the same schedule results in an on-line algorithm with competitive ratio~4/3. Since its analysis relies on a well-known integer programming relaxation of the scheduling problem, the relaxation has performance guarantee~4/3 as well. On the other hand, we show that it is at best an~8/7-relaxation.en
dc.identifier.issn2197-8085
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/15940
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-14713
dc.language.isoenen
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.ddc510 Mathematiken
dc.subject.otherscheduling theoryen
dc.subject.otherapproximation algorithmen
dc.subject.otheron-line algorithmen
dc.subject.otherrandomized algorithmen
dc.subject.otherLP relaxationen
dc.subject.othercombinatorial optimizationen
dc.titleThe Power of α-Points in Preemptive Single Machine Schedulingen
dc.typeResearch Paperen
dc.type.versionsubmittedVersionen
tub.accessrights.dnbfreeen
tub.affiliationFak. 2 Mathematik und Naturwissenschaften::Inst. Mathematikde
tub.affiliation.facultyFak. 2 Mathematik und Naturwissenschaftende
tub.affiliation.instituteInst. Mathematikde
tub.publisher.universityorinstitutionTechnische Universität Berlinen
tub.series.issuenumber1999, 639en
tub.series.namePreprint-Reihe des Instituts für Mathematik, Technische Universität Berlinen
tub.subject.msc200090C27 Combinatorial optimizationen
tub.subject.msc200068Q25 Analysis of algorithms and problem complexityen
tub.subject.msc200090B35 Scheduling theory, deterministicen
tub.subject.msc200068M20 Performance evaluation; queueing; schedulingen
tub.subject.msc200090C59 Approximation methods and heuristicsen

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