Design of a Machine Learning-Based Intelligent Middleware Platform for a Heterogeneous Private Edge Cloud System

Recent advances in mobile technologies have facilitated the development of a new class of smart city and fifth-generation (5G) network applications. These applications have diverse requirements, such as low latencies, high data rates, significant amounts of computing and storage resources, and acces...

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Vydané v:	Sensors (Basel, Switzerland) Ročník 21; číslo 22; s. 7701
Hlavný autor:	Shah, Sayed-Chhattan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 19.11.2021 MDPI
Predmet:	Cameras Cloud computing Computer centers Computers Data analysis Data collection Design Distributed processing edge computing fog computing Infrastructure intelligent network layer Internet access Internet of Things internet of things applications local cluster heterogeneous network Machine learning Operating systems Personal computers Project Report resource management Robots Security services Sensors Smart cities Smart houses Smartphones Surveillance Wireless communications Wireless networks
ISSN:	1424-8220, 1424-8220
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