Computation Time Optimization Strategies for Critical Infrastructure Simulator

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F26%3A0189585" target="_blank" >RIV/00216305:26220/26:0189585 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27740/25:10260161

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-031-97333-8_19" target="_blank" >http://dx.doi.org/10.1007/978-3-031-97333-8_19</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-031-97333-8_19" target="_blank" >10.1007/978-3-031-97333-8_19</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Computation Time Optimization Strategies for Critical Infrastructure Simulator

Popis výsledku v původním jazyce

This paper investigates the computation time optimization of a software tool for critical infrastructure simulation. First, modifications to the input data processing module are presented to increase the efficiency of data retrieval and reduce processing time. Next, the effect of different data formats on computational time and memory load is analyzed. Tests showed that some formats provided significant improvements in data processing speed and reductions in data file size. The next step was the deployment of a software tool in the supercomputing infrastructure, which allowed the optimization of computation time through orchestration in Kubernetes. The modified architecture of the software tool allows efficient use of computing power from the computing center only for running simulations, while administrative tasks are performed on the user’s local device. This integration into the supercomputing infrastructure provides the ability to run the software tool on different devices with sufficient computing power as needed.

Název v anglickém jazyce

Computation Time Optimization Strategies for Critical Infrastructure Simulator

Popis výsledku anglicky

This paper investigates the computation time optimization of a software tool for critical infrastructure simulation. First, modifications to the input data processing module are presented to increase the efficiency of data retrieval and reduce processing time. Next, the effect of different data formats on computational time and memory load is analyzed. Tests showed that some formats provided significant improvements in data processing speed and reductions in data file size. The next step was the deployment of a software tool in the supercomputing infrastructure, which allowed the optimization of computation time through orchestration in Kubernetes. The modified architecture of the software tool allows efficient use of computing power from the computing center only for running simulations, while administrative tasks are performed on the user’s local device. This integration into the supercomputing infrastructure provides the ability to run the software tool on different devices with sufficient computing power as needed.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

<a href="/cs/project/VK01030109" target="_blank" >VK01030109: Výzkum holistického modelu propojené kritické elektroenergetické a komunikační infrastruktury</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název statě ve sborníku

Research and Developments in Electrical Power Engineering, Proceedings of the 12th International Scientific Symposium on Electrical Power Engineering, Elektroenergetika 2024, September 11–13, 2024, Stará Lesná, Slovakia

ISBN

978-3-031-97332-1

ISSN

—

e-ISSN

—

Počet stran výsledku

9

Strana od-do

202-211

Název nakladatele

Technical University of Kosice

Místo vydání

Košice, Slovak Republic

Místo konání akce

Stará Lesná

Datum konání akce

11. 9. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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