A new LP rounding algorithm for the active time problem

Gruia Cǎlinescu () and Kai Wang ()
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Gruia Cǎlinescu: Illinois Institute of Technology
Kai Wang: City University of Hong Kong

Journal of Scheduling, 2021, vol. 24, issue 5, No 8, 543-552

Abstract: Abstract In this paper, we work on the scheduling problem with active time model. We have a set of preemptive jobs with integral release times, deadlines and required processing lengths, while the preemption of jobs is only allowed at integral time points. We have a single machine that can process at most g distinct job units at any given time unit when the machine is switched on. The objective is to find a schedule that completes all jobs within their timing constraints and minimizes the time when the machine is on, i.e., the active time. This problem has been studied by Chang et al. where they proposed an LP rounding approach which gives a 2-approximation solution. In this paper, we also give a 2-approximation algorithm based on LP rounding approach with a different rounding technique and analysis. Finally, we give a new linear programming formulation for which we conjecture that the integrality gap is 5/3, which might bring new hope for beating the barrier of 2 for the approximation ratio.

Keywords: Approximation algorithm; Scheduling; Linear program rounding; Active time (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s10951-020-00676-1

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