Faster and simpler approximation algorithms for mixed packing and covering problems
Theoretical Computer Science
Traffic-aware dynamic spectrum access
Proceedings of the 4th Annual International Conference on Wireless Internet
An investigation on the nature of wireless scheduling
INFOCOM'10 Proceedings of the 29th conference on Information communications
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We study resource constrained scheduling problems where the objective is to compute feasible preemptive schedules minimizing the makespan and using no more resources than what are available. We present approximation schemes along with some inapproximability results showing how the approximability of the problem changes in terms of the number of resources. The results are based on linear programming formulations (though with exponentially many variables) and some interesting connections between resource constrained scheduling and (multidimensional, multiple-choice, and cardinality constrained) variants of the classical knapsack problem. In order to prove the results we generalize a method by Grigoriadis et al. for the max-min resource sharing problem to the case with weak approximate block solvers (i.e., with only constant, logarithmic, or even worse approximation ratios). Finally, we present applications of the above results in fractional graph coloring and multiprocessor task scheduling.