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Digital Twin-Assisted Reinforcement Learning by FRANCIEL TUPAN DA ROSA is a document available to read on EtoBox.
This paper presents a novel approach for microservice offloading in collaborative edge computing (CEC) using digital twin technology and deep reinforcement learning (DRL). The proposed algorithm, DTDRLMO, addresses the challenges of dynamic resource availability and network conditions by optimizing the offloading and bandwidth allocation to minimize average service completion time. Simulation results demonstrate that DTDRLMO outperforms existing heuristic and learning-based methods in efficiency and effecti
- Author
- FRANCIEL TUPAN DA ROSA
- Language
- EN