Linear Statistical Features for the Purposes of Computer Network Automation

Milan Milivojević – Academy of Technical and Art Applied Studies Belgrade (ATUSS) – Department ICT College for vocational studies, Zdravka Čelara, 16, 11000, Belgrade, Republic of Serbia

Milan Pavlović – Academy of Technical and Art Applied Studies Belgrade (ATUSS) – Department ICT College for vocational studies, Zdravka Čelara, 16, 11000, Belgrade, Republic of Serbia

Marija Zajeganović – Academy of Technical and Art Applied Studies Belgrade (ATUSS) – Department ICT College for vocational studies, Zdravka Čelara, 16, 11000, Belgrade, Republic of Serbia

Abstract: The development of artificial intelligence finds applications in vari­ous practical areas, such as computer networks. The primary goal of introduc­ing automated methods is the efficient optimization of computer network op­erations. As input data for each algorithm, parameters that best describe the computer network are defined. Therefore, it is essential to define which pa­rameters are relevant to ensure the significant use of automation methods. Parameters like Round-Trip Time delay resulting from ping commands can be used as the basis for defining input parameters for the automation system. This approach can help detect anomalies in network operation due to to­pology disruptions and increased load on specific links within the network. These anomalies can be mitigated by adjusting routing protocol parameters and activating redundant links. The authors describe basic features that can be extracted from time series data containing information about delay times. Special emphasis is placed on the characteristics that result from linear statis­tical analysis using the Python programming language.

7th International Scientific Conference on Recent Advances in Information Technology, Tourism, Economics, Management and Agriculture – ITEMA 2023 – Conference Proceedings, Hybrid (Faculty of Organization and Informatics Varaždin, University of Zagreb, Croatia), October 26, 2023

ITEMA Conference Proceedings published by: Association of Economists and Managers of the Balkans – Belgrade, Serbia

ITEMA conference partners: Faculty of Economics and Business, University of Maribor, Slovenia; Faculty of Organization and Informatics, University of Zagreb, Varaždin; Faculty of Geography, University of Belgrade, Serbia; Institute of Marketing, Poznan University of Economics and Business, Poland; Faculty of Agriculture, Banat’s University of Agricultural Sciences and Veterinary Medicine ”King Michael I of Romania”, Romania

ITEMA Conference 2023 Conference Proceedings: ISBN 978-86-80194-75-2, ISSN 2683-5991, DOI: https://doi.org/10.31410/ITEMA.2023

Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission.

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