Using Rule-Based Decision Trees for Automatic Passive Diagnostics of the Network Problems
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F20%3APU136081" target="_blank" >RIV/00216305:26230/20:PU136081 - isvavai.cz</a>
Výsledek na webu
<a href="http://www.iariajournals.org/networks_and_services/netser_v13_n12_2020_paged.pdf" target="_blank" >http://www.iariajournals.org/networks_and_services/netser_v13_n12_2020_paged.pdf</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Using Rule-Based Decision Trees for Automatic Passive Diagnostics of the Network Problems
Popis výsledku v původním jazyce
Network troubleshooting often requires a detailed analysis that may involve network packet capturing and a manual analysis using tools such as Wireshark. This is time-consuming and requires deep knowledge of communication protocols. Therefore this domain is a suitable candidate for the deployment of an expert system. In this paper, we consider a rule-based system integrating the expert knowledge that performs an automatic root cause analysis of network problems identifiable from network communications. The system is open, thus it is possible to add new rules as needed, e.g., for specific and recurring cases of a target environment. The rules are evaluated in a tree-based fashion, which enables us to collect additional information during the problem search to better explain the possible causes. We successfully deployed the tool as part of a commercial tool for network monitoring.
Název v anglickém jazyce
Using Rule-Based Decision Trees for Automatic Passive Diagnostics of the Network Problems
Popis výsledku anglicky
Network troubleshooting often requires a detailed analysis that may involve network packet capturing and a manual analysis using tools such as Wireshark. This is time-consuming and requires deep knowledge of communication protocols. Therefore this domain is a suitable candidate for the deployment of an expert system. In this paper, we consider a rule-based system integrating the expert knowledge that performs an automatic root cause analysis of network problems identifiable from network communications. The system is open, thus it is possible to add new rules as needed, e.g., for specific and recurring cases of a target environment. The rules are evaluated in a tree-based fashion, which enables us to collect additional information during the problem search to better explain the possible causes. We successfully deployed the tool as part of a commercial tool for network monitoring.
Klasifikace
Druh
J<sub>ost</sub> - Ostatní články v recenzovaných periodicích
CEP obor
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OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
International Journal on Advances in Networks and Services
ISSN
1942-2644
e-ISSN
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Svazek periodika
2020
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
10
Strana od-do
1-10
Kód UT WoS článku
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EID výsledku v databázi Scopus
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