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Tytuł artykułu

Collecting and processing data of network devices impacting system load in terms of monitoring and warning system implementation

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Warianty tytułu
Konferencja
16th Summer Safety & Reliability Seminars - SSARS 2022, 4-11 September 2022, Ciechocinek, Poland
Języki publikacji
EN
Abstrakty
EN
Basic information about the network monitoring process is introduced. Two monitoring methods for data collection from network devices are distinguished. Logs and metrics are described as the elements containing information about the current state of the network. A description of metropolitan networks in Poland, the solutions they apply and the specificity of the network are presented. The monitoring systems are discussed in terms of the scope of collected and processed data. The analysis of the collection and processing of network device data and the impact on its load is presented. For this purpose, the statistical data collected by Juniper MX router concerned the system load are processed. Moreover, the measurement metric used and the obtained results for the selected network device are presented. Finally, the conclusions are discussed in terms of monitoring and warning systems implementation.
Twórcy
  • Centre of Informatics Tricity Academic Supercomputer and networK - CI TASK, Gdańsk, Poland
Bibliografia
  • Aida, M., Miyoshi, N. & Isnibashi, K. 2003.A scalable and lightweight QoS monitosing technique combining passive and active approaches. INFOCOM 2003.Twenty-Second Annual Joint Conference of the IEEE Computer and Communications. IEEE Societies, Volume 1, IEEE, 125-133.
  • Chowdhury, S.R., Bari, M.F., Ahmed, R. & Boutaba, R. 2014.Payless: a low cost network monitoring framework for software defined networks.2014 IEEE Network Operations and Management Symposium (NOMS), IEEE, 1-9.
  • Dąbrowski, M. 2021. Analysis and Comparison of Data Collection and Processing Tools for Network Devices. MSc Thesis. Faculty of Electronics, Telecommunications and Informatics. Gdańsk University of Technology(in Polish).
  • Klyne, G.& Newman, C. 2021. Date and Time on the Internet: Timestamps, The Internet Society, 2012, https://datatracker.ietf.org/doc/html/rfc3339 (accessed 20 Aug 2021).
  • Kołowrocki, K. & Soszyńska-Budny, J. 2011. Reliability and Safety of Complex Technical Systems and Processes: Modeling - Identification - Prediction - Optimization, Springer, 55-61, 175-182.
  • Konsorcjum PIONIER.2021. www.pionier.net.pl/online/pl/jednostki/1 (accessed 20 Apr 2021).
  • Markowski, A. 2012.Kultura języka polskiego. Teoria. Zagadnienia leksykalne. PWN(in Polish).
  • Mauro, D., Mauro, D.R. & Schmidt K. 2005. Essential SNMP. O'Reilly Media, 19-37.
  • Meghanathan, N. 2018.Centrality Metrics for Complex Network Analysis: Emerging Research and Opportunities: IGI Global, 1-34.
  • Nakonieczny, M. 2019. Task Story 1990-2015 (Historia Trójmiejskiej Akademickiej Sieci Komputerowej pisana Internetem), TASK Publishing Gdańsk, 3-13.
  • Network Monitoring. 2021. https://avinetworks.com/glossary/network-monitoring, (accessed 27 Mar 2021).
  • Nowicki, K. & Uhl, T. 2016. Monitorowanie i bezpieczeństwo sieci komputerowych. Wydawnictwo Naukowe Akademii Morskiej w Szczecinie, 1-11.
  • Reichert, D. 2021.Logs and Metrics: What Are They, and How Do They Help Me. www.sumo-logic.com/blog/logs-metrics-overview (accessed10 Apr 2021).
  • Tapscott, D. 2008.Grown Up Digital: How the Net Generation is Changing Your World. McGraw Hill Professional, 9-39.
  • Turnbull, J. 2016.The Art of Monitoring, O’Reilly, 21-54.
  • UNISDR - The United Nations Office for Disaster Risk Reduction.Terminology. Geneva, www.unisdr.org/we/inform/terminology (accessed 10 Feb 2022).
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c38dd785-a5b2-420b-b4ed-6f6178567887
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