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arXiv · 1704.06361

Shared processor scheduling

Dariusz Dereniowski·Wieslaw Kubiak
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Abstract

We study the shared processor scheduling problem with a single shared processor where a unit time saving (weight) obtained by processing a job on the shared processor depends on the job. A polynomial-time optimization algorithm has been given for the problem with equal weights in the literature. This paper extends that result by showing an $O(n \log n)$ optimization algorithm for a class of instances in which non-decreasing order of jobs with respect to processing times provides a non-increasing order with respect to weights --- this instance generalizes the unweighted case of the problem. This algorithm also leads to a $\frac{1}{2}$-approximation algorithm for the general weighted problem. The complexity of the weighted problem remains open.

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Dariusz Dereniowski, Wieslaw Kubiak. 2017-04-20. Shared processor scheduling. https://doi.org/10.1007/s10951-018-0566-0

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