prikaz prve stranice dokumenta Filtriranje geoprostornog toka podataka korištenjem platforme Apache Flink
No public access
master's thesis
Filtriranje geoprostornog toka podataka korištenjem platforme Apache Flink
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:515647
Perica, Andrea
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Perica, A. (2019). Filtriranje geoprostornog toka podataka korištenjem platforme Apache Flink (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:515647

Perica, Andrea. "Filtriranje geoprostornog toka podataka korištenjem platforme Apache Flink." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:515647

Perica, Andrea. "Filtriranje geoprostornog toka podataka korištenjem platforme Apache Flink." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:515647

Perica, A. (2019). 'Filtriranje geoprostornog toka podataka korištenjem platforme Apache Flink', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 30 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:515647

Perica A. Filtriranje geoprostornog toka podataka korištenjem platforme Apache Flink [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 December 30] Available at: https://urn.nsk.hr/urn:nbn:hr:168:515647

A. Perica, "Filtriranje geoprostornog toka podataka korištenjem platforme Apache Flink", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:515647

Metadata
TitleFiltriranje geoprostornog toka podataka korištenjem platforme Apache Flink
Title (english)Filtering of Geospatial Data Streams using Apache Flink Platform
AuthorAndrea Perica
MentorKrešimir Pripužić (mentor)
Committee memberKrešimir Pripužić (predsjednik povjerenstva)
Committee memberDamir Pintar (član povjerenstva)
Committee memberJurica Babić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-07-11, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Geoprostorni podaci složeni su podaci koji uz ostale svoje parametre sadrže i geografsku komponentu. Modeliraju se geometrijskim oblicima točke, linije i poligona, kao i složenijim strukturama za opisivanje reljefnih površina. Njihova je obrada složena te je potrebno koristiti posebne strukture za bolju organizaciju velike količine ove vrste podataka. Uz dobru organizaciju, bitno je i brzo izvođenje operacija te raspodjela poslova. Razvijeno je rješenje za filtriranje geoprostornog toka podataka i temelji se na platformi Apache Flink koja omogućuje raspodijeljenu obradu ograničenih i neograničenih tokova podataka. Sustav pohranjuje pretplate u obliku poligona, a objave, točke, dolaze u sustav u obliku toka podataka. Cilj je ubrzati pronalazak pretplata koje trebaju primiti obavijest o nekoj objavi. Rješenje je korišteno i za provedbu istraživanja u kojem se uspoređuju vremena obrade prilikom organizacije podataka u različite geoprostorne strukture.
Abstract (english)
Geospatial data is a composite type of data which contains geospatial component, along with other parameters. It is modeled with different geometry shapes, such as point, line and polygon, as well as with some more complex structures for terrain modelling. It is recommended to organize this type of data in special structures to achieve better processing time. For even better performance, some of known big data processing platforms may be used. In this thesis, an application for filtering geospatial streams has been developed based on Apache Flink, a platform for bounded and unbounded stream process. The system stores subscriptions in the shape of polygons, and the publications are brought to the system as a data stream. Publications are points, in geospatial data context. The goal is to determine which subscriptions need to receive a notification about newly arrived publication in the shortest possible time. Finally, a research was conducted using developed solution, in which the processing time was measured when using different data organizing structures.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:515647
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
Access conditionsClosed access
Terms of useLicence In copyright icon
Public note
Created on2020-01-07 21:13:59