… The continuously changing fog/edge environment dynamics require solutions that … /Edge
computing With the increase in the use of IoT and Machine Learning (ML), cloud and fog/edge …

… control framework combining edge computing and reinforcement learning, which makes
full use of edge … have recently triggered an unprecedented upsurge, changing the model of …

… flow and distributed deep learning in the IoT-Edge environment to … decision at the cloud.
Comparing our proposed AI assisted … and Edges in an evolving graph, where new Edges were …

… vehicle mobility and frequent topology changing, how to discover … widely distributed end,
edge and cloud are deeply integrated and … When edge capacity is not sufficient to meet user …

… 5 and 6, we illustrate the changing performance of DQL-SFCM with four different … flexibly
by changing the weights. Therefore, we can adjust the weight values to meet different service …

… network will evolve into a network for connected intelligence. … -access edge computing
(MEC) to support machine learning … hierarchical computing architecture with cloud/edge servers …

… cloud computing to distributed fog computing and mobile … driven a sharp evolution in computing
paradigms. Especially … design a deep reinforcement learning approach to the computing …

… dustrial evolution, aiming to improve production efficiency in … Besides, machine learning
(ML) and deep learning (DL) are … novel architecture that brings cloud computing capabilities, ie…

… of the level of URLLC transmissions to meet the needs of the … -access edge computing
proximity (Mobile Edge-Cloud) can … the knowledge and identity of the changing haptic trace [119]. …

… locations or meet certain security requirements. … In conclusion, AI and cloud computing are
rapidly evolving fields … AI in the cloud, enabling the development of cutting-edge solutions that …