Distributed Artificial Intelligence Enabled by oneM2M and Fog Networking

Kun Luncai, Fuchun Josephlin

研究成果: Conference contribution同行評審

6 引文 斯高帕斯(Scopus)

摘要

Deep learning enabled by neural networks has been proven to be an effective Artificial Intelligence (AI) algorithm in sophisticated applications. The algorithm is normally divided into two phases: learning phase and inference phase. In this research, we assume the learning phase is already accomplished offline and focus on expediting the inference phase by replacing the centralized processing of Cloud with the distributed processing of Fog. In our approach, inference algorithms in AI are distributed to multiple layers of Fog networking, constructed from oneM2M Middle Nodes. We verify the performance improvement of our proposed distributed AI/Fog system by comparing it against a Cloud-centric system based on a use case of smart shopping mall.

原文English
主出版物標題2018 IEEE Conference on Standards for Communications and Networking, CSCN 2018
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781538681466
DOIs
出版狀態Published - 19 12月 2018
事件2018 IEEE Conference on Standards for Communications and Networking, CSCN 2018 - Paris, 法國
持續時間: 29 10月 20181 11月 2018

出版系列

名字2018 IEEE Conference on Standards for Communications and Networking, CSCN 2018

Conference

Conference2018 IEEE Conference on Standards for Communications and Networking, CSCN 2018
國家/地區法國
城市Paris
期間29/10/181/11/18

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