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Title:Razvoj sistema za obdelavo slik z oblačnimi storitvami : diplomsko delo
Authors:ID Štefič, Marsel (Author)
ID Bizjak, Marko (Mentor) More about this mentor... New window
ID Kohek, Štefan (Comentor)
Files:.pdf VS_Stefic_Marsel_2025.pdf (2,42 MB)
MD5: 1D5483962069DE10A5C9A291BB1C0D80
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Diplomsko delo opisuje razvoj spletne aplikacije za obdelavo slik v oblaku z uporabo tehnologij AWS in Next.js. Sistem temelji na brezstrežniški arhitekturi, kjer ključne funkcionalnosti izvajajo storitve AWS, kot so Lambda, S3, DynamoDB in ECR. Za avtentikacijo uporabnikov se uporablja Clerk, medtem ko je za obdelavo slik implementirana lastna rešitev v okolju Docker. Poseben poudarek je na večplatformski funkcionalnosti, razširljivosti in enostavni uporabi sistema, ki omogoča shranjevanje, obdelavo in prikazovanje naloženih slik na učinkovit način. V okviru testiranja je bilo ugotovljeno, da ima med parametri obdelave največji vpliv na čas obdelovanja ločljivost slik. Pri simulaciji sočasnih nalaganj se je ta čas predvidljivo povečeval s številom uporabnikov, vendar je sistem kljub obremenitvam ohranil stabilno in zanesljivo delovanje.
Keywords:spletna aplikacija, Amazon Web Service, obdelava slik
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[M. Štefič]
Year of publishing:2025
Number of pages:1 spletni vir (1 datoteka PDF (53 str.))
PID:20.500.12556/DKUM-94577 New window
UDC:004.932(043.2)
COBISS.SI-ID:256576259 New window
Publication date in DKUM:23.09.2025
Views:134
Downloads:26
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:26.08.2025

Secondary language

Language:English
Title:Development of an image processing system using cloud services
Abstract:This thesis describes the development of a web application for image processing in the cloud using AWS technologies and Next.js. The system is based on a serverless architecture, where core functionalities are performed by AWS services such as Lambda, S3, DynamoDB, and ECR. User authentication is handled through Clerk, while image processing is implemented with a custom solution within a Docker environment. Special emphasis is placed on cross-platform functionality, scalability, and user-friendliness, that enables storing, processing, and presentation of the uploaded images in an efficient manner. The testing revealed that image resolution had the greatest impact on processing time among the processing parameters. During concurrent upload simulations, this time predictably increased with the number of users, yet the system maintained stable and reliable operation under load.
Keywords:web application, Amazon Web services, image editing


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