The Class Constrained Bin Packing Problem with Applications to Video-on-Demand

نویسندگان

  • Eduardo C. Xavier
  • Flávio Keidi Miyazawa
چکیده

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, each item i ∈ {1, . . . , n} with class ci and size si. The problem is to pack the items into bins, where each bin contains at most C different classes and has total items size at most B. We present several approximation algorithms for offline and online versions of the problem.

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تاریخ انتشار 2006