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Efficient handling of lots of simulation data files

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F22%3A39919497" target="_blank" >RIV/00216275:25530/22:39919497 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.46354/i3m.2022.emss.043" target="_blank" >http://dx.doi.org/10.46354/i3m.2022.emss.043</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.46354/i3m.2022.emss.043" target="_blank" >10.46354/i3m.2022.emss.043</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Efficient handling of lots of simulation data files

  • Original language description

    Saving information to files is the most basic and simplest way to store data, so it is often used in simple simulators and simulation tools as the first choice for logging information about the simulation process and its results. Computer simulations often involve simulating a significant number of replications and accumulating large numbers of files. Today&apos;s filesystems are still not capable of efficiently storing and processing millions of files. This paper presents alternatives that allow for more efficient storage, transfer, and analysis of data, with an emphasis on easy migration or implementation from the initial data files. Simple approaches such as using TAR or ZIP archives to sophisticated approaches involving Parquet file, S3-like object storage (e.g., MinIO, OpenIO) and (non)relational databases will be compared.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 34th European Modeling &amp; Simulation Symposium (EMSS 2022)

  • ISBN

    978-88-85741-73-7

  • ISSN

    2724-0029

  • e-ISSN

    2724-0029

  • Number of pages

    4

  • Pages from-to

    1-4

  • Publisher name

    CAL-TEK SRL

  • Place of publication

    Rende

  • Event location

    Řím

  • Event date

    Sep 19, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article