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Algorithmica

, Volume 34, Issue 2, pp 181–196 | Cite as

Fair versus Unrestricted Bin Packing

  • Azar
  • Boyar
  • Favrholdt
  • Larsen
  • Nielsen
  • Epstein
Article

Abstract

Abstract. We consider the on-line Dual Bin Packing problem where we have nunit size bins and a sequence of items. The goal is to maximize the number of items that are packed in the bins by an on-line algorithm. We investigate unrestrictedalgorithms that have the power of performing admission control on the items, i.e., rejecting items while there is enough space to pack them, versus fairalgorithms that reject an item only when there is not enough space to pack it. We show that by performing admission control on the items, we get better performance compared with the performance achieved on the fair version of the problem. Our main result shows that with an unfair variant of First-Fit, we can pack approximately two-thirds of the items for sequences for which an optimal off-line algorithm can pack all the items. This is in contrast to standard First-Fit where we show an asymptotically tight hardness result: if the number of bins can be chosen arbitrarily large, the fraction of the items packed by First-Fit comes arbitrarily close to five-eighths.

Key words. On-line algorithms, Competitive analysis, Bin Packing, Dual Bin Packing, Restricted adversaries, Randomization, Admission control. 

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Copyright information

© Springer-Verlag New York 2002

Authors and Affiliations

  • Azar
    • 1
  • Boyar
    • 2
  • Favrholdt
    • 2
  • Larsen
    • 2
  • Nielsen
    • 2
  • Epstein
    • 3
  1. 1.Department of Computer Science, Tel Aviv University, Ramet Aviv, Tel Aviv, Israel. azar@tau.ac.il. Supported in part by the Israel Science Foundation, and by a USA—Israel BSF grant.US
  2. 2.Department of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark. joan@imada.sdu.dk, lenem@imada.sdu.dk, kslarsen@imada.sdu.dk, nyhave@imada.sdu.dk.DK
  3. 3.School of Computer and Media Sciences, The Interdisciplinary Center, Herzliya, Israel. lea@idc.ac.il.IL

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