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arXiv · 2208.06437

Smart caching in a Data Lake for High Energy Physics analysis

Tommaso Tedeschi·Diego Ciangottini·Marco Baioletti·Valentina Poggioni·Daniele Spiga·Loriano Storchi·Mirco Tracolli
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Abstract

The continuous growth of data production in almost all scientific areas raises new problems in data access and management, especially in a scenario where the end-users, as well as the resources that they can access, are worldwide distributed. This work is focused on the data caching management in a Data Lake infrastructure in the context of the High Energy Physics field. We are proposing an autonomous method, based on Reinforcement Learning techniques, to improve the user experience and to contain the maintenance costs of the infrastructure.

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Tommaso Tedeschi, Diego Ciangottini, Marco Baioletti, Valentina Poggioni, Daniele Spiga, Loriano Storchi, Mirco Tracolli. 2022-08-02. Smart caching in a Data Lake for High Energy Physics analysis. https://arxiv.org/abs/2208.06437

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