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undergraduate thesis
Postupci optimiranja parsera za JSON programski jezik za razmjenu podataka
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. urn:nbn:hr:168:286131
Matković, Marijan
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Matković, M. (2023). Postupci optimiranja parsera za JSON programski jezik za razmjenu podataka (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:286131

Matković, Marijan. "Postupci optimiranja parsera za JSON programski jezik za razmjenu podataka." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:286131

Matković, Marijan. "Postupci optimiranja parsera za JSON programski jezik za razmjenu podataka." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:286131

Matković, M. (2023). 'Postupci optimiranja parsera za JSON programski jezik za razmjenu podataka', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 23 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:286131

Matković M. Postupci optimiranja parsera za JSON programski jezik za razmjenu podataka [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 November 23] Available at: https://urn.nsk.hr/urn:nbn:hr:168:286131

M. Matković, "Postupci optimiranja parsera za JSON programski jezik za razmjenu podataka", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:286131

Metadata
TitlePostupci optimiranja parsera za JSON programski jezik za razmjenu podataka
Title (english)Parser Optimization Procedures for JSON Data-Interchange Language
AuthorMarijan Matković
MentorKlemo Vladimir (mentor)
Committee memberKlemo Vladimir (predsjednik povjerenstva)
Committee memberAdrian Satja Kurdija (član povjerenstva)
Committee memberFilip Karlo Došilović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2023-08-31, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj rad istražuje metode optimizacije za parsiranje JSON-a, prevladavajućeg jezika za razmjenu podataka. Fokusira se na RapidJSON, JSON parser pisan u C++-u, iskazujući njegovu solidnu izvedbu za male i srednje velike datoteke, ali povećanu memoriju i vrijeme parsiranja za veće, složene datoteke. Unatoč prednostima, uključujući "in situ" parsiranje, RapidJSON je često bio nadmašen od strane MISON-a i Sparsera-a u testovima izvedbe. MISON, koristeći SIMD instrukcije za paralelno parsiranje i Sparser, dizajniran za velike JSON datoteke i primjenjivanje tehnike izravnog filtriranja, oba su pokazala brže vrijeme parsiranja. Istraživanje zaključuje da bi, iako je RapidJSON učinkovit, MISON ili Sparser mogli biti prikladniji ovisno o zahtjevima aplikacije. Teza naglašava važnost nastavka istraživanja optimizacije JSON-ovog parsiranja, s obzirom na sve veću potrebu za učinkovitom razmjenom podataka.
Abstract (english)
This thesis investigates optimization methods for parsing JSON, a prevalent data interchange language. It focuses on RapidJSON, a C++ JSON parser, noting its solid performance for small and medium-sized files but increased memory and time consumption for larger, complex files. Despite its advantages, including "in situ" parsing, RapidJSON was often outperformed by MISON and Sparser in performance tests. MISON, utilizing SIMD instructions for parallel parsing, and Sparser, designed for large JSON files and employing a direct filtering technique, both demonstrated faster parsing times. The study concludes that while RapidJSON is efficient, MISON or Sparser might be more suitable depending on the application requirements. The thesis emphasizes the importance of continued research into JSON parsing optimization, considering the growing need for efficient data exchange.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:286131
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-10-11 09:45:54