Extended version of microservices performance optimization through horizontal pod autoscaling: a comprehensive study (2026)
- Authors:
- USP affiliated authors: LEJBMAN, ALFREDO GOLDMAN VEL - IME ; BUZATO, FERNANDO HENRIQUE LAUREANO - IME
- Unidade: IME
- Subjects: ARQUITETURA ORIENTADA A SERVIÇOS; CONTÊINERES; COMPUTAÇÃO EM NUVEM; OTIMIZAÇÃO MATEMÁTICA; BENCHMARKS; CONSUMO; CUSTO ECONÔMICO
- Keywords: Microservices; Containers; Autoscaling; HPA; Resource Optimization; Cloud Computing; Benchmark Tools; Performance; Resource Consumption; Availability; Scalability
- Language: Inglês
- Imprenta:
- Source:
- Título: International Journal of Networking and Computing
- ISSN: 2185-2847
- Volume/Número/Paginação/Ano: V. 16, N. 2, p. 52–75, 2026
-
ABNT
BUZATO, Fernando Henrique Laureano e GOLDMAN, Alfredo. Extended version of microservices performance optimization through horizontal pod autoscaling: a comprehensive study. International Journal of Networking and Computing, p. 52–75, 2026Tradução . . Disponível em: http://ijnc.org/index.php/ijnc/article/view/343. Acesso em: 30 jan. 2026. -
APA
Buzato, F. H. L., & Goldman, A. (2026). Extended version of microservices performance optimization through horizontal pod autoscaling: a comprehensive study. International Journal of Networking and Computing, 52–75. Recuperado de http://ijnc.org/index.php/ijnc/article/view/343 -
NLM
Buzato FHL, Goldman A. Extended version of microservices performance optimization through horizontal pod autoscaling: a comprehensive study [Internet]. International Journal of Networking and Computing. 2026 ; 52–75.[citado 2026 jan. 30 ] Available from: http://ijnc.org/index.php/ijnc/article/view/343 -
Vancouver
Buzato FHL, Goldman A. Extended version of microservices performance optimization through horizontal pod autoscaling: a comprehensive study [Internet]. International Journal of Networking and Computing. 2026 ; 52–75.[citado 2026 jan. 30 ] Available from: http://ijnc.org/index.php/ijnc/article/view/343 - Extending microservices performance optimization through horizontal pod autoscaling: a comprehensive study
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