CoEdge: Cooperative DNN Inference With Adaptive Workload Partitioning Over Heterogeneous Edge Devices

Recent advances in artificial intelligence have driven increasing intelligent applications at the network edge, such as smart home, smart factory, and smart city. To deploy computationally intensive Deep Neural Networks (DNNs) on resource-constrained edge devices, traditional approaches have relied...

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Veröffentlicht in:	IEEE/ACM transactions on networking Jg. 29; H. 2; S. 595 - 608
Hauptverfasser:	Zeng, Liekang, Chen, Xu, Zhou, Zhi, Yang, Lei, Zhang, Junshan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.04.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Adaptive control Artificial intelligence Artificial neural networks Cloud computing Computational modeling cooperative DNN inference distributed computing Edge intelligence Electronic devices energy efficiency Feature extraction Image edge detection Inference Network latency Performance evaluation Runtime Smart buildings Smart homes Task analysis Wide area networks Workload Workloads
ISSN:	1063-6692, 1558-2566
Online-Zugang:	Volltext
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