Deep Reinforcement Learning for Containerized Edge Intelligence Inference Request Processing in IoT Edge Computing

Edge intelligence (EI) refers to a set of connected systems and devices for artificial intelligence (AI) data collected and learned near the data collection site. The EI model inference phase has been improved through edge caching technologies such as intelligent models (IMs). IM inference across he...

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Veröffentlicht in:	IEEE transactions on services computing 2023-11, Vol.16 (6), p.4328-4344
Hauptverfasser:	Nkenyereye, Lionel, Baeg, Kang-Jun, Chung, Wan-Young
Format:	Artikel
Sprache:	eng
Schlagworte:	AI model inference Algorithms Artificial intelligence Cloud computing Clustering algorithms Clusters Computational modeling Containers Data collection Data models Deep learning deep reinforcement learning Edge computing edge intelligence Inference Inference algorithms Intelligence Internet of Things IoT edge computing IoT service layer Machine learning Provisioning Wearable technology Workload Workloads
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