%0 Conference Paper %1 conf/vcc/FodorJSS23 %A Fodor, Balázs %A Jakub, Ákos %A Szücs, Gábor %A Sonkoly, Balázs %B VCC %D 2023 %I IEEE %K dblp %P 139-144 %T A Multi-Agent Deep-Reinforcement Learning Approach for Application-Agnostic Microservice Scaling. %U http://dblp.uni-trier.de/db/conf/vcc/vcc2023.html#FodorJSS23 %@ 979-8-3503-1880-7

@inproceedings{conf/vcc/FodorJSS23, added-at = {2024-04-02T00:00:00.000+0200}, author = {Fodor, Balázs and Jakub, Ákos and Szücs, Gábor and Sonkoly, Balázs}, biburl = {https://www.bibsonomy.org/bibtex/23357b84b98a3887d0e2a076316e33219/dblp}, booktitle = {VCC}, crossref = {conf/vcc/2023}, ee = {https://doi.org/10.1109/VCC60689.2023.10474695}, interhash = {556259547c4247fbe5cd5b028148d294}, intrahash = {3357b84b98a3887d0e2a076316e33219}, isbn = {979-8-3503-1880-7}, keywords = {dblp}, pages = {139-144}, publisher = {IEEE}, timestamp = {2024-04-09T11:27:49.000+0200}, title = {A Multi-Agent Deep-Reinforcement Learning Approach for Application-Agnostic Microservice Scaling.}, url = {http://dblp.uni-trier.de/db/conf/vcc/vcc2023.html#FodorJSS23}, year = 2023 }