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

Yeunwoong Kyung, Haneul Ko

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationICTC 2022 - 13th International Conference on Information and Communication Technology Convergence
Subtitle of host publicationAccelerating Digital Transformation with ICT Innovation
PublisherIEEE Computer Society
Pages1800-1802
Number of pages3
ISBN (Electronic)9781665499392
DOIs
StatePublished - 2022
Event13th International Conference on Information and Communication Technology Convergence, ICTC 2022 - Jeju Island, Korea, Republic of
Duration: 19 Oct 202221 Oct 2022

Publication series

NameInternational Conference on ICT Convergence
Volume2022-October
ISSN (Print)2162-1233
ISSN (Electronic)2162-1241

Conference

Conference13th International Conference on Information and Communication Technology Convergence, ICTC 2022
Country/TerritoryKorea, Republic of
CityJeju Island
Period19/10/2221/10/22

Keywords

  • Cloud
  • Edge
  • IoT
  • TinyML

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