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Recent Results for Online Makespan Minimization

(Extended Abstract)
  • Susanne Albers
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7936)

Abstract

Overview: We study a classical scheduling problem that has been investigated for more than forty years. Consider a sequence of jobs σ = J 1, …, J n that has to be scheduled on m identical parallel machines. Each job J t has an individual processing time p t , 1 ≤ t ≤ n. Preemption of jobs is not allowed. The goal is to minimize the makespan, i.e. the maximum completion time of any job in the constructed schedule. In the offline variant of the problem all jobs of σ are known in advance. In the online variant the jobs arrive one by one. Each incoming job J t has to be assigned immediately to one of the machines without knowledge of any future jobs J t, t′ > t.

Keywords

Competitive Ratio Online Algorithm Online Schedule Identical Parallel Machine Maximum Completion Time 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Susanne Albers
    • 1
  1. 1.Department of Computer ScienceHumboldt-Universität zu BerlinGermany

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