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

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Computing and Combinatorics (COCOON 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4112))

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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.

This work has been partially supported by CAPES, CNPq (Proc. 306526/04–2, 471460/04–4, 490333/04–4) and ProNEx–FAPESP/CNPq (Proc. 2003/09925-5).

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© 2006 Springer-Verlag Berlin Heidelberg

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Xavier, E.C., Miyazawa, F.K. (2006). The Class Constrained Bin Packing Problem with Applications to Video-on-Demand. In: Chen, D.Z., Lee, D.T. (eds) Computing and Combinatorics. COCOON 2006. Lecture Notes in Computer Science, vol 4112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11809678_46

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  • DOI: https://doi.org/10.1007/11809678_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-36925-7

  • Online ISBN: 978-3-540-36926-4

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