The class constrained bin packing problem with applications to video-on-demand

  • Authors:
  • E. C. Xavier;F. K. Miyazawa

  • Affiliations:
  • Instituto de Computação, Universidade Estadual de Campinas, Campinas, SP, Brazil;Instituto de Computação, Universidade Estadual de Campinas, Campinas, SP, Brazil

  • Venue:
  • COCOON'06 Proceedings of the 12th annual international conference on Computing and Combinatorics
  • Year:
  • 2006

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Abstract

In this paper we present approximation results for the class constrained bin packing problem that has applications to Video-on-Demand Systems. In this problem we are given bins of capacity B with C compartments, and n items of Q different classes. The problem is to pack the items into the minimum number of bins, where each bin contains items of at most C different classes and has total items size at most B. We present several approximation algorithms for off-line and online versions of the problem.