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Artifact and instructions to generate experimental results for conference proceeding paper: A Poisson-Based Approximation Algorithm for Stochastic Bin Packing of Bernoulli Items

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posted on 2024-05-15, 12:56 authored by Tomasz Kanas, Krzysztof Rzadca

This artifact is concerned with Section 8 (Evaluation by simulations) of the Paper "A Poisson-Based Approximation Algorithm for Stochastic Bin Packing of Bernoulli Items". The artifact consists of the Python source code used to generate the synthetic datasets, simulate the stochastic bin-packing algorithms described in the paper, and generate the plots. Moreover, it contains the bash script used to download external data used in the simulations. This artifact is provided as a single .zip archive.

Funding

Polish National Science Center grant Opus (UMO-2017/25/B/ST6/00116)

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    European Conference on Parallel Processing

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