Title: Edge intelligence /
Authors: Corici, Andreea Ancuta,; International Electrotechnical Commission; Fraunhofer FOKUS,; Hua wei ji shu you xian gong si; International Electrotechnical Commission.
Year: 2017
Subjects: Internet of things; Cloud computing; Mobile communication systems; Machine learning; Intelligent sensors; Intelligent control systems; Cloud computing; Intelligent control systems; Intelligent sensors; Internet of things; Machine learning; Mobile communication systems
Abstract: To enable and realize the true value of the internet of things (IoT), edge intelligence pushes processing for data intensive applications away from the core of the cloud to the edge of the network. This radical transformation from the cloud to the edge, edge intelligence, will support trillions of sensors and billions of systems. It will treat data in motion differently from data at rest. This White Paper synthesizes current trends in the areas of cloud computing, mobile networking, IoT and other domains that require low delay in communication and decision. Such domains include smart manufacturing, video analysis for security and safety, automotive, intelligent city furniture or virtual reality. The publication explores market potential and vertical use case requirements, analyzes gaps and produces recommendations for adopting vertical edge intelligence technologies. --