EdgeAutoOffloadAI a deep reinforcement learning framework for adaptive task offloading and resource management in mobile edge computing

Abstract As emerging low-latency, compute-intensive applications, e.g., autonomous driving, industrial IoT, and augmented reality, experience explosive growth, this demand has driven a surge in real-time computing services. Dealing with such demands is not feasible in traditional cloud computing arc...

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Autors principals:	Antharaju K. Chakravarthy, T. Rama Reddy, N. Ramakrishnaiah
Format:	Artigo
Idioma:	Inglês
Publicat:	Springer 2026-03-01
Col·lecció:	Discover Computing
Matèries:	Mobile edge computing Task offloading Deep reinforcement learning Transformer networks Resource allocation
Accés en línia:	https://doi.org/10.1007/s10791-026-10037-9
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