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Analiza računalniškega omrežja na primeru Dijaškega doma Tabor
ID GULJA, MATJAŽ (Author), ID Moškon, Miha (Mentor) More about this mentor... This link opens in a new window

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MD5: 77A707673A1C35016BA6506939ACD066
PID: 20.500.12556/rul/1284ed76-fbe3-4bc9-94e7-629c32702fcb

Abstract
V nalogi smo preučili različna orodja za analiziranje prometa v računalniških omrežij in jih uporabili pri analizi omrežja Dijaškega doma Tabor. Meritve smo opravljali v času turistične sezone in na začetku šolskega leta, ko turiste zamenjajo dijaki. Primerjali smo navade obeh populacij ter iskali skupne vzorce. Med drugim smo opravili analizo prenosa datotek preko medcelinskih povezav in ugotavljali vpliv nastavitev protokola TCP na samo hitrost prenosa. Za analize smo v VMware ESXi uporabljali programski usmerjevalnik pfSense ter razvili dodatne Python skripte, ki razčlenjujejo dnevniške datoteke za nadaljnjo obdelavo z SQL poizvedbami v PostgreSQL orodju in z analitičnim orodjem MicroStrategy Analytics.

Language:Slovenian
Keywords:analiza omrežja, analiza prometa, pfSense, VMware, ESXi, Python, PostgreSQL, MicroStrategy Analytics
Work type:Bachelor thesis/paper
Organization:FRI - Faculty of Computer and Information Science
Year:2014
PID:20.500.12556/RUL-29579 This link opens in a new window
Publication date in RUL:25.09.2014
Views:2022
Downloads:640
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Secondary language

Language:English
Title:Computer network analysis on the case study of Tabor dormitories
Abstract:
Thesis presents the overview of various computer traffic analysis tools. The case study of the analysis is performed on the Tabor dormitories' computer network. Two different populations were observed, i.e. the residents during the tourist season and during the school year. Common patterns between the groups were analysed. The analysis of file transfers via intercontinental connections was conducted additionally to observe the influence of TCP settings on the download speed. The pfSense and VMware ESXi were used for the environment configuration. Log files were parsed with custom Python scripts and processed with SQL queries in PostgreSQL and with MicroStrategy Analytics.

Keywords:network analysis, traffic analysis, pfSense, VMware ESXi, Python, PostgreSQL, MicroStrategy Analytics

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