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master's thesis
Ulančavanje procesora za obradu toka podataka
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:975112
Mance, Ivana
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Mance, I. (2021). Ulančavanje procesora za obradu toka podataka (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:975112

Mance, Ivana. "Ulančavanje procesora za obradu toka podataka." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:975112

Mance, Ivana. "Ulančavanje procesora za obradu toka podataka." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:975112

Mance, I. (2021). 'Ulančavanje procesora za obradu toka podataka', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 20 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:975112

Mance I. Ulančavanje procesora za obradu toka podataka [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 June 20] Available at: https://urn.nsk.hr/urn:nbn:hr:168:975112

I. Mance, "Ulančavanje procesora za obradu toka podataka", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:975112

Metadata
TitleUlančavanje procesora za obradu toka podataka
Title (english)Chaining Data Stream Processors
AuthorIvana Mance
MentorKrešimir Pripužić (mentor)
Committee memberKrešimir Pripužić (predsjednik povjerenstva)
Committee memberMartina Antonić (član povjerenstva)
Committee memberPavle Skočir (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-07-09, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Tokovi podataka su neprekinuti nizovi podataka koji nastaju u stvarnom vremenu. Za njihovu obradu razvijeni su posebni alati kao što je Apache Flink koji omogućava distribuirane transformacije i specifične korisničke procedure nad podacima, uz pohranu stanja. Iskorištavanjem Flinkove mogućnosti dijeljenog stanja, procesori su implementirani tako da se bez ponovnog pokretanja može mijenjati njihovo ponašanje. Konfiguracija procesora kompromis je između točnosti i latencije rezultata. Komunikacija između Flink procesora ostvaruje se čitanjem i pisanjem u Kafka teme. Rezultat je konfigurabilni sustav koji se u stvarnom vremenu može prilagođavati poslovnim zahtjevima.
Abstract (english)
Data streams are continuous sets of data generated in real time. To handle the volume of data streams, special tools have been developed such as Apache Flink, which enables distributed, stateful transformations of data, as well as specific user-defined procedures. By leveraging Flink's shared-state capabilities, processors are implemented in such a way that their behavior can be modified without stopping the execution. Processor configuration is a tradeoff between accuracy of the results and their latency. Communication between Flink processors is done by reading and writing in Kafka topics. The result is a configurable system that can be adapted to meet business requirements in real time.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:975112
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 on2023-01-13 12:58:03