Approximation algorithms for bin packing: a survey
Approximation algorithms for NP-hard problems
Approximation algorithms for data placement on parallel disks
SODA '00 Proceedings of the eleventh annual ACM-SIAM symposium on Discrete algorithms
Tight bounds for online class-constrained packing
Theoretical Computer Science - Latin American theorotical informatics
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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.