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1 Ergebnisse
1
Exploring Resource Prediction Models Based on Custom Kubern..:
, In:
2024 9th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA)
,
Chia, Yi Xuan
;
Seow, Chee Kiat
;
Chen, Kan
. - p. 47-52 , 2024
Link:
https://doi.org/10.1109/ICCCBDA61447.2024.10569815
RT T1 <cTitle>2024 9th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA)</cTitle>: T1 <Title>Exploring Resource Prediction Models Based on Custom Kubernetes Auto-scaling Metrics</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10569815&Exemplar=1&LAN=DE A1 Chia, Yi Xuan A1 Seow, Chee Kiat A1 Chen, Kan A1 Cao, Qi YR 2024 SN 2832-3734 K1 Measurement K1 Cloud computing K1 Memory management K1 Predictive models K1 Servers K1 Forecasting K1 Long short term memory K1 kubernetes K1 docker K1 containerization K1 time-series forecasting K1 cloud K1 cloud native K1 resource prediction K1 auto scaling K1 horizontal pod autoscaler SP 47 OP 52 LK http://dx.doi.org/https://doi.org/10.1109/ICCCBDA61447.2024.10569815 DO https://doi.org/10.1109/ICCCBDA61447.2024.10569815 SF ELIB - SuUB Bremen
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