Change Point Detection in Network Traffic Time Series – Bc. Pavol Zaťko
Bc. Pavol Zaťko
Bachelor's thesis
Change Point Detection in Network Traffic Time Series
Change Point Detection in Network Traffic Time Series
Abstract:
Change point v časovej rade popisujúcej tok dát v sieti môže byť príznakom dôležitej udalosti a preto algoritmy na detekciu change pointov nachádzajú uplatnenie v monitorovaní sietí. V tejto práci sú otestované štyri metódy detekcie changepointov - CUSUM diagram, ChangeFinder, uLSIF a jednoduchý algoritmus, ktorého účelom je uľahčiť hodnotenie ostatných metód - na časových radách zo skutočných sieťových …moreAbstract:
A change point in a network time series might be a sign of an important event happening in a network, and therefore algorithms for change point detection could be applied in network monitoring. Four change point detection methods - CUSUM chart, ChangeFinder, uLSIF and a simple baseline method for benchmarking - were tested on time series based on real-world network flows into which change points were …more
Language used: English
Date on which the thesis was submitted / produced: 23. 5. 2019
Identifier:
https://is.muni.cz/th/chx9u/
Thesis defence
- Date of defence: 26. 6. 2019
- Supervisor: RNDr. Tomáš Jirsík
- Reader: RNDr. Martin Drašar, Ph.D.
Citation record
Full text of thesis
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Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatikyMasaryk University
Faculty of InformaticsBachelor programme / field:
Informatics / Mathematical Informatics