prikaz prve stranice dokumenta Postupci automatizirane analize velikih količina mrežnih podataka
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master's thesis
Postupci automatizirane analize velikih količina mrežnih podataka
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. urn:nbn:hr:168:254147
Marić, Petar
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Marić, P. (2016). Postupci automatizirane analize velikih količina mrežnih podataka (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:254147

Marić, Petar. "Postupci automatizirane analize velikih količina mrežnih podataka." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. https://urn.nsk.hr/urn:nbn:hr:168:254147

Marić, Petar. "Postupci automatizirane analize velikih količina mrežnih podataka." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. https://urn.nsk.hr/urn:nbn:hr:168:254147

Marić, P. (2016). 'Postupci automatizirane analize velikih količina mrežnih podataka', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 05 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:254147

Marić P. Postupci automatizirane analize velikih količina mrežnih podataka [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2016 [cited 2024 July 05] Available at: https://urn.nsk.hr/urn:nbn:hr:168:254147

P. Marić, "Postupci automatizirane analize velikih količina mrežnih podataka", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:168:254147

Metadata
TitlePostupci automatizirane analize velikih količina mrežnih podataka
Title (english)Procedures for automated analysis of large volumes of network data
AuthorPetar Marić
MentorMirko Randić (mentor)
Committee memberMirko Randić (predsjednik povjerenstva)
Committee memberBoris Vrdoljak (član povjerenstva)
Committee memberDamir Pintar (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2016-07-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Rast količine podataka koji opisuju rad komunikacijskih mreža, dovodi do problema efikasnosti i vremenske isplativosti pri sekvencijalnoj obradi podataka. Radi toga budućnost, ali i sadašnjost, analize mrežnih podataka je u raspodijeljenoj obradi podataka. Jedna od platformi za raspodijeljenu obradu podataka je Apache Hadoop platforma. U ovom radu, analizirani podaci nisu iz stvarne mreže, nego je korišten generator mrežnih podataka OpenMSC. OpenMSC generator generira kontrolne mrežne pakete simbolički, ali za svrhu istraživanja mogućnosti izgradnje sustava za analizu rada mreže, takav izvor podataka je zadovoljavajući. Program za analizu podataka koji se izvodi na Hadoop platformi napisan je u programskom jeziku Java na principu programskog modela MapReduce. Izlazni podaci dobiveni iz programa su statistički podaci koji opisuju pojedine karakteristike rada emulirane mreže koji dijelom ukazuju i na probleme i nepravilnosti u radu.
Abstract (english)
The growth in the amount of data that describe the operation of communication networks, leads to problems of efficiency and time cost effectiveness of sequential processing. Therefore, the future, or the present, of network data analysis lies in distributed data processing. One of the platform for distributed data processing is Apache Hadoop platform. In this thesis, analyzed data are not from the real network, but it is used data network generator OpenMSC. OpenMSC generator generates a symbolic control network packets, but for exploring the possibility of building system for the network analysis, such source of information is satisfactory. Data analysis program that runs on Hadoop platform was written in Java in MapReduce programming model. Output data obtained from the program are statistical data that describes the specific characteristics of emulated network that partly indicate of the problems and irregularities.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:254147
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2018-02-06 10:25:44