On data reduction for dynamic vector bin packing

被引：1

作者：

van Bevern, Rene ^{[1
]}

Melnikov, Andrey ^{[1
]}

Smirnov, Pavel V. ^{[1
]}

Tsidulko, Oxana Yu. ^{[1
]}

机构：

[1] Huawei Technol Co Ltd, Novosibirsk, Russia

来源：

OPERATIONS RESEARCH LETTERS | 2023年 / 51卷 / 04期

关键词：

Approximation & amp; heuristics; Parameterized complexity; Lossy kernelization; Resource allocation; N;

D O I：

10.1016/j.orl.2023.06.005

中图分类号：

C93 [管理学]; O22 [运筹学];

学科分类号：

070105 ; 12 ; 1201 ; 1202 ; 120202 ;

摘要：

We study a dynamic vector bin packing (DVBP) problem. We show hardness for shrinking arbitrary DVBP instances to size polynomial in the number of request types or in the maximal number of requests overlapping in time. We also present a simple polynomial-time data reduction algorithm that allows to recover (1 + & epsilon;)-approximate solutions for arbitrary & epsilon; > 0. It shrinks instances from Microsoft Azure and Huawei Cloud by an order of magnitude for & epsilon; = 0.02.& COPY; 2023 Elsevier B.V. All rights reserved.

引用

页码：446 / 452

页数：7

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