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The Cartographer
On data reduction for dynamic vector bin packing
May 18, 2022 Β· Declared Dead Β· π Operations Research Letters
"No code URL or promise found in abstract"
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Authors
RenΓ© van Bevern, Andrey Melnikov, Pavel Smirnov, Oxana Tsidulko
arXiv ID
2205.08769
Category
cs.DS: Data Structures & Algorithms
Cross-listed
cs.DM,
math.OC
Citations
2
Venue
Operations Research Letters
Last Checked
4 months ago
Abstract
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 $(1 + {\varepsilon})$-approximate solutions for arbitrary ${\varepsilon} > 0$. It shrinks instances from Microsoft Azure and Huawei Cloud by an order of magnitude for ${\varepsilon} = 0.02$.
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