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'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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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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 & 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
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