A Deep Reinforcement Learning Approach for the Placement of Scalable Microservices in the Edge-to-Cloud Continuum

Research article (GLOBECOM 2023 - 2023 IEEE Global Communications Conference, 2023) · cited 12× · AI/ML
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A Deep Reinforcement Learning Approach for the Placement of Scalable Microservices in the Edge-to-Cloud Continuum

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A Deep Reinforcement Learning Approach for the Placement of Scalable Microservices in the Edge-to-Cloud Continuum is a scholarly article[1].

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  • A Deep Reinforcement Learning Approach for the Placement of Scalable Microservices in the Edge-to-Cloud Continuum's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). A Deep Reinforcement Learning Approach for the Placement of Scalable Microservices in the Edge-to-Cloud Continuum. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-deep-reinforcement-learning-approach-for-the-placement-of-scalable-microservices-in-the-edge-to-cloud-continuum
MLA “A Deep Reinforcement Learning Approach for the Placement of Scalable Microservices in the Edge-to-Cloud Continuum.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-deep-reinforcement-learning-approach-for-the-placement-of-scalable-microservices-in-the-edge-to-cloud-continuum.
BibTeX @misc{4ortxyz_a-deep-reinforcement-learning-approach-for-the-placement-of-scalable-microservices-in-the-edge-to-cloud-continuum_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Deep Reinforcement Learning Approach for the Placement of Scalable Microservices in the Edge-to-Cloud Continuum}}, year = {2026}, url = {https://4ort.xyz/entity/a-deep-reinforcement-learning-approach-for-the-placement-of-scalable-microservices-in-the-edge-to-cloud-continuum}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Deep Reinforcement Learning Approach for the Placement of Scalable Microservices in the Edge-to-Cloud Continuum — https://4ort.xyz/entity/a-deep-reinforcement-learning-approach-for-the-placement-of-scalable-microservices-in-the-edge-to-cloud-continuum (retrieved 2026-05-24)

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