Preemptive Multi-Machine Scheduling of Equal-Length Jobs to Minimize the Average Flow Time

dc.creatorBaptiste, Philippe
dc.creatorChrobak, Marek
dc.creatorDurr, Christoph
dc.creatorSourd, Francis
dc.date2004-12-20
dc.date.accessioned2026-07-07T06:29:12Z
dc.date.available2026-07-07T06:29:12Z
dc.descriptionWe study the problem of preemptive scheduling of n equal-length jobs with given release times on m identical parallel machines. The objective is to minimize the average flow time. Recently, Brucker and Kravchenko proved that the optimal schedule can be computed in polynomial time by solving a linear program with O(n^3) variables and constraints, followed by some substantial post-processing (where n is the number of jobs.) In this note we describe a simple linear program with only O(mn) variables and constraints. Our linear program produces directly the optimal schedule and does not require any post-processing.
dc.identifierhttps://arxiv.org/abs/cs/0412094
dc.identifierhttp://arxiv.org/abs/cs/0412094
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/97946
dc.subjectData Structures and Algorithms
dc.subjectF.2.2
dc.titlePreemptive Multi-Machine Scheduling of Equal-Length Jobs to Minimize the Average Flow Time
dc.typetext

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