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1 Ergebnisse
1
A Multi-Agent Deep-Reinforcement Learning Approach for Appl..:
, In:
2023 IEEE Virtual Conference on Communications (VCC)
,
Fodor, Balazs
;
Jakub, Akos
;
Szucs, Gabor
. - p. 139-144 , 2023
Link:
https://doi.org/10.1109/VCC60689.2023.10474695
RT T1
2023 IEEE Virtual Conference on Communications (VCC)
: T1
A Multi-Agent Deep-Reinforcement Learning Approach for Application-Agnostic Microservice Scaling
UL https://suche.suub.uni-bremen.de/peid=ieee-10474695&Exemplar=1&LAN=DE A1 Fodor, Balazs A1 Jakub, Akos A1 Szucs, Gabor A1 Sonkoly, Balazs YR 2023 K1 Training K1 Industries K1 Machine learning algorithms K1 Microservice architectures K1 Clustering algorithms K1 Deep reinforcement learning K1 Stability analysis K1 cloud computing K1 multi-agent reinforcement learning K1 auto-scaling K1 microservice scaling SP 139 OP 144 LK http://dx.doi.org/https://doi.org/10.1109/VCC60689.2023.10474695 DO https://doi.org/10.1109/VCC60689.2023.10474695 SF ELIB - SuUB Bremen
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