FIGARO: reinForcement learnInG mAnagement acRoss the computing cOntinuum-Reference-Cited by-同舟云学术

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FIGARO: reinForcement learnInG mAnagement acRoss the computing cOntinuum

Published:2023-12-04 Issue: Volume:28 Page:1-8
ISSN:
Container-title:Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing
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Author:

Filippini Federica¹^ORCID,Cavadini Riccardo¹^ORCID,Ardagna Danilo¹^ORCID,Lancellotti Riccardo²^ORCID,Russo Russo Gabriele³^ORCID,Cardellini Valeria³^ORCID,Lo Presti Francesco³^ORCID

Affiliation:

1. Politecnico di Milano, Milan, Italy

2. Università degli Studi di Modena e Reggio Emilia, Modena, Italy

3. University of Rome Tor Vergata, Rome, Italy

Funder

MUR Missione 4 - Next Generation EU (NGEU)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3603166.3632565

Reference22 articles.

1. Zeinab Akhavan et al. 2022. Deep reinforcement learning for online latency aware workload offloading in mobile edge computing. In IEEE GLOBECOM'22, 2218--2223.

2. James Bergstra et al. 2013. Making a science of model search: hyperparameter optimization in hundreds of dimensions for vision architectures. In ICML'13. Vol. 28, 115--123.

3. Zequn Cao and Xiaoheng Deng. 2023. Dependent task offloading in edge computing using GNN and deep reinforcement learning. (2023). arXiv: 2303.17100 [cs.DC].

4. Decentralized self-adaptation for elastic data stream processing;Valeria Cardellini;Future Gener. Comput. Syst.,2018

5. FORTUNE Business Insights. 2023. Cloud computing market size, growth & COVID-19 impact analysis, 2023--2030. https://www.fortunebusinessinsights.com/cloud-computing-market-102697. (2023).

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