2021
DOI: 10.48550/arxiv.2105.08577
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Approximation Algorithms for Demand Strip Packing

Abstract: In the Demand Strip Packing problem (DSP), we are given a time interval and a collection of tasks, each characterized by a processing time and a demand for a given resource (such as electricity, computational power, etc.). A feasible solution consists of a schedule of the tasks within the mentioned time interval. Our goal is to minimize the peak resource consumption, i.e. the maximum total demand of tasks executed at any point in time.It is known that DSP is NP-hard to approximate below a factor 3/2, and stand… Show more

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“…Variants of 2SP where items can be sliced using vertical cuts find applications in resource allocation problems [3,16,19]. Many packing algorithms [28,25,8] solve the sliceable version of the problem as a subroutine.…”
Section: :5mentioning
confidence: 99%
“…Variants of 2SP where items can be sliced using vertical cuts find applications in resource allocation problems [3,16,19]. Many packing algorithms [28,25,8] solve the sliceable version of the problem as a subroutine.…”
Section: :5mentioning
confidence: 99%