Dual techniques for scheduling on a machine with varying speed

TL;DR

This paper develops approximation schemes for scheduling on machines with variable speeds, introducing a novel weight-dimension approach and addressing energy tradeoffs, with applications to parallel machine scheduling.

Contribution

It presents a PTAS for weighted completion time scheduling with variable speeds, a reduction for energy-aware scheduling, and an approximation for parallel machine scheduling.

Findings

Existence of a PTAS for minimizing total weighted completion time.

Reduction of energy-aware scheduling to fixed-speed problems.

A (2+ε)-approximation for preemptive jobs on multiple machines.

Abstract

We study scheduling problems on a machine with varying speed. Assuming a known speed function we ask for a cost-efficient scheduling solution. Our main result is a PTAS for minimizing the total weighted completion time in this setting. This also implies a PTAS for the closely related problem of scheduling to minimize generalized global cost functions. The key to our results is a re-interpretation of the problem within the well-known two-dimensional Gantt chart: instead of the standard approach of scheduling in the {\em time-dimension}, we construct scheduling solutions in the weight-dimension. We also consider a dynamic problem variant in which deciding upon the speed is part of the scheduling problem and we are interested in the tradeoff between scheduling cost and speed-scaling cost, which is typically the energy consumption. We observe that the optimal order is independent of the energy consumption and that the problem can be reduced to the setting where the speed of the machine is fixed, and thus admits a PTAS. Furthermore, we provide an FPTAS for the NP-hard problem variant in which the machine can run only on a fixed number of discrete speeds. Finally, we show how our results can be used to obtain a~$(2+\eps)$-approximation for scheduling preemptive jobs with release dates on multiple identical parallel machines.