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master's thesis
Usporedba radnih karakteristika web servisa u oblaku implementiranih u Pythonu i Rustu
2025. urn:nbn:hr:137:968119
Sever, Luka
University of Pula
Juraj Dobrila University of Pula, Department of Engineering

Cite this document

Sever, L. (2025). Usporedba radnih karakteristika web servisa u oblaku implementiranih u Pythonu i Rustu (Master's thesis). Pula: University of Pula. Retrieved from https://urn.nsk.hr/urn:nbn:hr:137:968119

Sever, Luka. "Usporedba radnih karakteristika web servisa u oblaku implementiranih u Pythonu i Rustu." Master's thesis, University of Pula, 2025. https://urn.nsk.hr/urn:nbn:hr:137:968119

Sever, Luka. "Usporedba radnih karakteristika web servisa u oblaku implementiranih u Pythonu i Rustu." Master's thesis, University of Pula, 2025. https://urn.nsk.hr/urn:nbn:hr:137:968119

Sever, L. (2025). 'Usporedba radnih karakteristika web servisa u oblaku implementiranih u Pythonu i Rustu', Master's thesis, University of Pula, accessed 12 March 2025, https://urn.nsk.hr/urn:nbn:hr:137:968119

Sever L. Usporedba radnih karakteristika web servisa u oblaku implementiranih u Pythonu i Rustu [Master's thesis]. Pula: University of Pula; 2025 [cited 2025 March 12] Available at: https://urn.nsk.hr/urn:nbn:hr:137:968119

L. Sever, "Usporedba radnih karakteristika web servisa u oblaku implementiranih u Pythonu i Rustu", Master's thesis, University of Pula, Pula, 2025. Available at: https://urn.nsk.hr/urn:nbn:hr:137:968119

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Metadata
TitleUsporedba radnih karakteristika web servisa u oblaku implementiranih u Pythonu i Rustu
Title (english)Evaluating the Performance of Cloud Web Services Developed in Python and Rust
AuthorLuka Sever
MentorNikola Tanković (mentor)
Committee memberDiego Sušanj (predsjednik povjerenstva)
Committee memberNikola Tanković (član povjerenstva)
Committee memberKarlo Griparić (član povjerenstva)
GranterUniversity of Pula
(Juraj Dobrila University of Pula, Department of Engineering)
Pula
Defense date and country2025-03-11, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Program Engineering
Abstract
U ovom radu analizirane su performanse mrežnih servisa u oblaku implementiranih u Python-u i Rust-u kako bi se utvrdila razlika u njihovoj učinkovitosti, skalabilnosti i optimizaciji resursa. Mrežni servisi razvijeni su koristeći razvojne okvire FastAPI za Python i Actix-web za Rust te su ispitani u Amazon Web Services (AWS) okruženju, koristeći EC2 instance i DynamoDB bazu podataka. Ispitivanje je provedeno uz pomoć Apache JMeter alata, simulirajući stvarne uvjete opterećenja s ciljem mjerenja ključnih metrika kao što su latencija, vrijeme odgovora, propusnost i iskorištenost procesora. Rezultati istraživanja pokazali su da Rust nadmašuje Python u pogledu performansi, s nižom latencijom, bržim vremenom odgovora i većom propusnošću zahtjeva. Python je, s druge strane, omogućio jednostavniji razvoj i veću fleksibilnost, ali uz značajne nedostatke radnih značajki pri većem opterećenju sustava. Zaključeno je da je Rust prikladniji za razvoj visoko-performantnih i resursno zahtjevnih aplikacija, dok je Python pogodniji za brzi razvoj i prototipiranje. Ovo istraživanje pruža korisne uvide u odabir tehnologije za razvoj mrežnih servisa u oblaku te može poslužiti kao temelj za daljnja istraživanja u području optimizacije performansi distribuiranih sustava.
Abstract (english)
This paper analyzes the performance of cloud-based web services im- plemented in Python and Rust to determine the differences in efficiency, scalability, and resource optimization. The web services were developed using FastAPI for Python and Actix-web for Rust and were tested in an Amazon Web Services (AWS) environment, utilizing EC2 instances and Dy- namoDB as the database. Performance testing was conducted using Apache JMeter, simulating real-world load conditions to measure key metrics such as latency, response time, throughput, and CPU utilization. The results showed that Rust outperforms Python in terms of perfor- mance, exhibiting lower latency, faster response times, and higher request throughput. On the other hand, Python facilitated faster development and greater flexibility but suffered from significant performance drawbacks un- der high system load. The findings indicate that Rust is more suitable for high-performance, resource-intensive applications, while Python is better suited for rapid development and prototyping. This research provides valuable insights into the selection of technologies for developing cloud web services and can serve as a foundation for further studies in optimizing distributed system performance.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:137:968119
Study programmeTitle: Computer science
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 conditionsOpen access
Terms of useLicence In copyright icon
Public noteGithub link: https://github.com/i3arsu/Masters_Project
Created on2025-03-11 14:30:47