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A Cloud-Based Software Architecture for Mathematical Modeling based on Interval Data Analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F24%3A00378391" target="_blank" >RIV/68407700:21240/24:00378391 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1109/ACIT62333.2024.10712488" target="_blank" >https://doi.org/10.1109/ACIT62333.2024.10712488</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ACIT62333.2024.10712488" target="_blank" >10.1109/ACIT62333.2024.10712488</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Cloud-Based Software Architecture for Mathematical Modeling based on Interval Data Analysis

  • Original language description

    In this paper, we present a software architecture for mathematical modeling based on the analysis of interval data using cloud technologies. The key features of the proposed architecture include the integration of an interval modeling subsystem for static systems into a cloud-based service-oriented architecture, optimization of computational schemes using the Google Cloud Run platform, the use of the MapReduce distributed computing model, free software-interpreted tools, and the application of RESTful APIs at all stages of mathematical modeling.

  • 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

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2024 14th International Conference on Advanced Computer Information Technologies (ACIT)

  • ISBN

    979-8-3503-5003-6

  • ISSN

    2770-5226

  • e-ISSN

    2770-5226

  • Number of pages

    5

  • Pages from-to

    89-93

  • Publisher name

    IEEE eXplore

  • Place of publication

  • Event location

    České Budějovice

  • Event date

    Sep 19, 2024

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article