Integrating Serverless and DRL for Infrastructure Management in Streaming Data Processing across Edge-Cloud Continuum
Author:
Affiliation:
1. Institute of Computer Science University of Tartu,Tartu,Estonia
2. University of Hyderabad,School of Computer and Information Sciences,Hyderabad,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10660662/10660678/10660928.pdf?arnumber=10660928
Reference14 articles.
1. Deep reinforcement learning (DRL)-based methods for serverless stream processing engines: A vision, architectural elements, and future directions, arxiv preprint arxiv:2402.17117;Read;arXiv:2402.17117,2024
2. Enabling privacy-aware interoperable and quality IoT data sharing with context
3. Distributed AI in Zero-Touch Provisioning for Edge Networks: Challenges and Research Directions
4. EAVS: Edge-assisted Adaptive Video Streaming with Fine-grained Serverless Pipelines
5. UAV-Assisted Real-Time Video Transmission for Vehicles: A Soft Actor-Critic DRL Approach
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