Vizualizacija toka podataka u realnom vremenu

master's thesis

• Title (english): Real-time Data Stream Visualization
• Author: Ivan Ćirić
• Mentor: Boris Vrdoljak (mentor)
• Committee member: Boris Vrdoljak (predsjednik povjerenstva)
• Committee member: Marina Bagić Babac (član povjerenstva)
• Committee member: Mirjana Domazet-Lošo (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2018-07-11, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Tema ovog diplomskog rada je izrada sustava za vizualizaciju neprekidnih tokova podataka u telefonskoj industriji koji u njega dolaze kroz Apache Kafku – platformu za procesuiranje tokova podataka u realnom vremenu. Opisano je na koji se način šalju takvi tokovi podataka, objašnjeni su glavni elementi platforme te na koji način funkcionira uz priložene primjere implementacije. Također, istraženi su i implementirani različiti načini za vizualizaciju tokova podataka u realnom vremenu korištenjem biblioteka za grafički prikaz podataka (linijski graf vremenske serije, graf za analizu društvenih mreža, stupčasti graf vremenske serije, graf geografskih karti itd.). Budući da se sustav sastoji od više komponenti – Apache Kafka za rad s tokovima podataka, Node.js za poslužitelj na kojem je izgrađena aplikacija te HTML i JavaScript za prikaz samih grafova, opisana je arhitektura cijelog sustava te na koji su način navedene komponente povezane.

Abstract (english)

This thesis focuses on developing a software system for visualization of continuous data streams in telecommunications industry which enter in system through Apache Kafka – platform for processing data streams in real time.
Through this thesis it was described and explained how those data streams enter in system and of which parts of Apache Kafka consists. Also, different types for visualization like timeseries line graph, SNA graph, column graph and map graph were researched and implemented.
Software system consists of multiple components – Apache Kafka for processing data streams, Node.js for building application server, HTML and JavaScript for data visualization. This thesis contains description of all components and how they mutually interact, as well as a description of system architecture.

• Keywords: Apache Kafka; tokovi podataka; vizualizacija podataka; JavaScript; Node.js; Highcharts JS
• Keywords (english): Apache Kafka; data streams; data visualization; JavaScript; Node.js; Highcharts JS
• Language: croatian
• URN:NBN: urn:nbn:hr:168:015662
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2019-03-13 19:50:41