Detail výsledku

KuBench: A Kubernetes-Based Environment for Standardized REST API Framework Performance Evaluation

OLŠÁK, O.; ŠAUER, M.; JAROŠ, M.; JAROŠ, J. KuBench: A Kubernetes-Based Environment for Standardized REST API Framework Performance Evaluation. In Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, 2025. p. 366-369. ISBN: 978-3-031-97206-5.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Olšák Ondřej, Ing., UPSY (FIT)
Šauer Matěj, Bc., UPSY (FIT)
Jaroš Marta, Ing., Ph.D., UPSY (FIT)
Jaroš Jiří, prof. Ing., Ph.D., UPSY (FIT)
Abstrakt

Selecting the optimal REST API framework is a critical decision that directly impacts application performance, scalability, and development efficiency. KuBench solves this challenge by providing an environment for comparison of multiple REST API frameworks. Unlike existing tools that only test single implementations, our Kubernetes-based solution enables developers to evaluate multiple implementations of identical APIs across different programming languages and libraries under the same conditions. This paper presents our approach for consistent benchmarking using containerization and comprehensive performance metrics that capture response times, throughput, and resource utilization. KuBench empowers development teams to make decisions when selecting REST API frameworks that genuinely meet their performance requirements.

Klíčová slova

REST API; benchmarking; performance testing; resource utilization

URL
Rok
2025
Strany
366–369
Sborník
Lecture Notes in Computer Science
Konference
25th International Conference on Web Engineering
ISBN
978-3-031-97206-5
Vydavatel
Springer Nature Switzerland
Místo
Cham
DOI
10.1007/978-3-031-97207-2_28
EID Scopus
2-s2.0-105020011234
BibTeX 
@inproceedings{BUT197687,
  author="Ondřej {Olšák} and Matěj {Šauer} and Marta {Jaroš} and Jiří {Jaroš}",
  title="KuBench: A Kubernetes-Based Environment for Standardized REST API Framework Performance Evaluation",
  booktitle="Lecture Notes in Computer Science",
  year="2025",
  pages="366--369",
  publisher="Springer Nature Switzerland",
  address="Cham",
  doi="10.1007/978-3-031-97207-2\{_}28",
  isbn="978-3-031-97206-5",
  url="https://link.springer.com/chapter/10.1007/978-3-031-97207-2_28"
}
Projekty
Application-specific HW/SW architectures and their applications, VUT, Vnitřní projekty VUT, FIT-S-23-8141, zahájení: 2023-03-01, ukončení: 2026-02-28, řešení
Personalizovaná transkraniální ultrazvuková stimule řízená MRI snímkováním, EU, HORIZON EUROPE, 101071008, zahájení: 2022-08-01, ukončení: 2026-07-31, řešení
Pracoviště
Fakulta informačních technologií (FIT)
Nahoru