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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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
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