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Gdańsk University of Technology

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Big Data from Sensor Network via Internet of Things to Edge Deep Learning for Smart City

Data from a physical world is sampled by sensor networks, and then streams of Big Data are sent to cloud hosts to support decision making by deep learning software. In a smart city, some tasks may be assigned to smart devices of the Internet of Things for performing edge computing. Besides, a part of workload of calculations can be transferred to the cloud hosts. This paper proposes benchmarks for division tasks between an edge layer and a cloud layer for deep learning. Results of some numerical experiments are presented, too.

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DOI
Digital Object Identifier link open in new tab 10.1007/978-3-030-84340-3_29
Category
Aktywność konferencyjna
Type
publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
Language
angielski
Publication year
2021

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