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Title:Zbiranje in analiza velike količine dnevniških zapisov računalniškega oblaka
Authors:ID Orehar, Luka (Author)
ID Škraba, Andrej (Mentor) More about this mentor... New window
ID Pogačnik, Klemen (Comentor)
Files:.pdf MAG_Orehar_Luka_2020.pdf (935,21 KB)
MD5: 2D4261AE2F90CF7A7522B679C9181EEE
PID: 20.500.12556/dkum/a356754b-f688-4d5a-9984-5663669490e9
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FOV - Faculty of Organizational Sciences in Kranj
Abstract:Opredeljena je problematika pregledovanja dnevniških zapisov ob izjemno veliki količini podatkov, zbranih v informacijskem oblaku ob povečevanju števila uporabnikov in kosov strojne opreme. Opisan je razvoj modela za centralno zbiranje dnevniških zapisov. Na podlagi izvedene raziskave je bilo ugotovljeno, da je ročno upravljanje dnevniških datotek časovno potratno in zelo naporno. Vpeljava programske opreme za pomoč pri upravljanju z dnevniškimi zapisi je tako nujna. Sistem za centralno beleženje dnevniških zapisov nam bistveno olajša iskanje problemov, saj ponuja uporabniku zelo prijazen spletni vmesnik in učinkovito avtomatizacijo ključnih opravil. Poleg tega nam sistem omogoča vpogled v dogajanje tudi, če nam strojna oprema zaradi nepravilnega delovanja ni dosegljiva.
Keywords:Dnevniški zapisi, Računalniški oblak, EFK stack, OpenStack
Place of publishing:Maribor
Year of publishing:2020
PID:20.500.12556/DKUM-78301 New window
COBISS.SI-ID:58128131 New window
NUK URN:URN:SI:UM:DK:FERRPVO8
Publication date in DKUM:02.04.2021
Views:1065
Downloads:82
Metadata:XML DC-XML DC-RDF
Categories:FOV
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:03.12.2020

Secondary language

Language:English
Title:Collecting and analysing large volumes of computer cloud logs
Abstract:The thesis addresses the problem of monitoring large amounts of data that is collected in the computing cloud when the number of users as well as the amount of hardware increase. Therefore, it describes the development of a model that enables a comprehensive and centralised data log collection. It has been indicated, that the manual management of log files is a time-consuming as well as demanding process. Introducing software that can assist in managing log files is therefore of paramount importance. A centralised log collection system also makes troubleshooting much easier as if offers a very user-friendly interface and enables efficient automation of key tasks. The monitoring has also been considered in the case of hardware malfunctions.
Keywords:Log files, Cloud computing, EFK stack, OpenStack


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