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master's thesis
Distribuirana arhitektura za kratkoročne vremenske prognoze
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. urn:nbn:hr:168:322788
Kenda, Jurica
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Kenda, J. (2023). Distribuirana arhitektura za kratkoročne vremenske prognoze (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:322788

Kenda, Jurica. "Distribuirana arhitektura za kratkoročne vremenske prognoze." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:322788

Kenda, Jurica. "Distribuirana arhitektura za kratkoročne vremenske prognoze." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:322788

Kenda, J. (2023). 'Distribuirana arhitektura za kratkoročne vremenske prognoze', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 16 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:322788

Kenda J. Distribuirana arhitektura za kratkoročne vremenske prognoze [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 June 16] Available at: https://urn.nsk.hr/urn:nbn:hr:168:322788

J. Kenda, "Distribuirana arhitektura za kratkoročne vremenske prognoze", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:322788

Metadata
TitleDistribuirana arhitektura za kratkoročne vremenske prognoze
Title (english)Distributed architecture for short-term weather forecast
AuthorJurica Kenda
MentorVinko Lešić (mentor)
Committee memberVinko Lešić (član povjerenstva)
Committee memberAnita Banjac (član povjerenstva)
Committee memberBranimir Novoselnik (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2023-06-28, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj rad zaranja duboko u arhitekturu i implementaciju infrastrukture za sustav kratkoročne vremenske prognoze. Njegova primarna svrha je prikazati različite inženjerske i proizvodne ustupke tijekom izgradnje takvog sustava, kao i pružiti primjenjiv sustav za proizvodnu upotrebu. Dokument razlaže početne zahtjeve dionika i opisuje životni ciklus sustava od dizajna do detalja implementacije. Među mnogim različitim zahtjevima, onaj na koji se ovaj rad najviše fokusira je jednostavna integracija klijenta na oba kraja sustava. Koristi REST API za integraciju s proizvođačima informacija, Kafka redove poruka za prijenos poruka i Websockets za isporuku podataka klijentima. Autori koriste empirijsko stručno znanje u kombinaciji s temeljitim istraživanjem kako bi donijeli utemeljene odluke o tome kako će sustav funkcionirati i ispuniti svoje zahtjeve. Konačni proizvod je infrastruktura visoke propusnosti napisana u jeziku Go, prenosi više od 300 poruka/sekundi, podržava više od 40 istodobnih klijenata (20 proizvođača, 20 klijenata) i postiže prosječnu latenciju od 100 milisekundi za prijenos poruka s kraja na kraj bez ispada poruka. Integracija sa sustavom zahtijeva <20 linija koda u bilo kojem modernom programskom jeziku (Python, Javascript, Java, Go…).
Abstract (english)
This paper dives deep into the architecture and implementation of an infrastructure for a nowcasting system. Its primary purpose is to display the various engineering and product trade offs while building such a system, as well as to provide an applicable system for a production use. The paper breaks down the initial stakeholder requirements and describes the system lifecycle from the design to the details of implementation. Among many different requirements, the one this paper focuses on the most is seamless client integration on both ends of the system. It uses REST API for integrating with the information producers, Kafka message queues for message networking and Websockets for data delivery to the consuming clients. The authors use empirical expert knowledge, in combination with thorough research to make well-informed decisions about how the system will function and fulfil its requirements. The end product is a high-throughput infrastructure written in Go, streaming over 300 messages/second, supporting over 40 concurrent clients (20 producing, 20 consuming), and achieving an average latency of 100 milliseconds for end-to-end message transfer with no message drops. Integrating with the system requires <20 LoC in any modern programming language (Python, Javascript, Java, Go…).
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:322788
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 on2023-10-11 09:17:25