Publication result detail

Computation Time Optimization Strategies for Critical Infrastructure Simulator

VRTAL, M.; BENEDIKT, J.; FUJDIAK, R.; PRAKS, P.; TOMAN, P.

Original Title

Computation Time Optimization Strategies for Critical Infrastructure Simulator

English Title

Computation Time Optimization Strategies for Critical Infrastructure Simulator

Type

Paper in proceedings (conference paper)

Original Abstract

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.

English abstract

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.

Keywords

power grid; distribution network; smart grid; simulation; optimization; computation time

Key words in English

power grid; distribution network; smart grid; simulation; optimization; computation time

Authors

VRTAL, M.; BENEDIKT, J.; FUJDIAK, R.; PRAKS, P.; TOMAN, P.

RIV year

2026

Released

13.09.2024

Publisher

Technical University of Kosice

Location

Košice, Slovak Republic

ISBN

978-3-031-97332-1

Book

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

Edition

Lecture Notes in Electrical Engineering 1446

Volume

2024

Number

1

Pages from

202

Pages to

211

Pages count

9

BibTex

@inproceedings{BUT189585,
  author="Matěj {Vrtal} and Jan {Benedikt} and Radek {Fujdiak} and Pavel {Praks} and Petr {Toman}",
  title="Computation Time Optimization Strategies for Critical Infrastructure Simulator",
  booktitle="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",
  year="2024",
  series="Lecture Notes in Electrical Engineering 1446",
  volume="2024",
  number="1",
  pages="202--211",
  publisher="Technical University of Kosice",
  address="Košice, Slovak Republic",
  doi="10.1007/978-3-031-97333-8\{_}19",
  isbn="978-3-031-97332-1"
}