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外文会议>Annual European Symposium on Algorithms
>Fast Divide-and-Conquer Algorithms for Preemptive Scheduling Problems with Controllable Processing Times - A Polymatroid Optimization Approach
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Fast Divide-and-Conquer Algorithms for Preemptive Scheduling Problems with Controllable Processing Times - A Polymatroid Optimization Approach
We consider a variety of preemptive scheduling problems with controllable processing times on a single machine and on identical/uniform parallel machines, where the objective is to minimize the total compression cost. In this paper, we propose fast divide-and-conquer algorithms for these scheduling problems. Our approach is based on the observation that each scheduling problem we discuss can be formulated as a polymatroid optimization problem. We develop a novel divide-and-conquer technique for the polymatroid optimization problem and then apply it to each scheduling problem. We show that each scheduling problem can be solved in O(T{sub}(feas)(n) × log n) time by using our divide-and-conquer technique, where n is the number of jobs and T{sub}(feas) (n) denotes the time complexity of the corresponding feasible scheduling problem with n jobs. This approach yields faster algorithms for most of the scheduling problems discussed in this paper.
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