A Cloud-Based Software Architecture for Mathematical Modeling based on Interval Data Analysis
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.
Authors
- Libor Dostálek (ORCID: https://orcid.org/0000-0002-1613-2644)
- Mykhailo Ozhha
- Volodymyr Manzhula (ORCID: https://orcid.org/0000-0001-5222-8443)
- Oleksandr Papa
- Mykola Dyvak (ORCID: https://orcid.org/0000-0002-9049-4993)
- Andriy Melnyk
Institutions
- West Ukrainian National University (UA)
- Ternopil Volodymyr Hnatiuk National Pedagogical University (UA)
- Czech Technical University in Prague (CZ)
Publication Details
- Published
- 2024-09-19
- DOI
- https://doi.org/10.1109/acit62333.2024.10712488
- Primary Topic
- Advanced Decision-Making Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00