Changes in Communication Networks and Computing for Intelligent IoT Services from Cloud to Edge

Yeunwoong Kyung, Haneul Ko
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Abstract

Initially, users use internet of things (IoT) services to remotely monitor or control things through the internet. However, according to the development of IoT technologies, there have been various IoT services which require some strict requirements such as real-time response or high computing processing. In addition, the intelligent computing for the services has been needed in these days. To cover these services, the communication networks and computing paradigms have been changed. Conventionally, IoT services have been usually supported in the cloud. Then, the edge cloud or computing has been considered for the real-time response. Finally, the computing in the device by itself such as a tiny machine learning concept has been recently introduced. Therefore, this paper reviews the changes in communications networks and computing paradigms from the cloud to the edge and device computing for the intelligent IoT services.
从云到边缘的智能物联网服务的通信网络和计算变化
最初,用户使用物联网(IoT)服务通过互联网远程监控或控制事物。然而,随着物联网技术的发展,出现了各种各样的物联网服务,这些服务对实时响应或高计算处理等要求非常严格。此外,服务的智能计算在这些天已经被需要。为了覆盖这些服务,通信网络和计算范式已经发生了变化。传统上,物联网服务通常在云中得到支持。然后,考虑了边缘云或计算的实时响应。最后,最近引入了设备本身的计算,例如微型机器学习概念。因此,本文回顾了从云到边缘的通信网络和计算范式的变化以及智能物联网服务的设备计算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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