research-article

Smart IoT monitoring framework based on oneM2M for fog computing

Authors:

Jeongwoo Choi,

Yongmin Kim,

Sung-Y. Shin,

Jiman HongAuthors Info & Claims

SAC '18: Proceedings of the 33rd Annual ACM Symposium on Applied Computing

Pages 1848 - 1852

https://doi.org/10.1145/3167132.3173379

Published: 09 April 2018 Publication History

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Abstract

As the Internet of Things (IoT) technology evolves, it is no longer appropriate to process real-time, large-volume data generated by numerous IoT devices in a cloud computing environment. To solve this problem, fog computing has been proposed which minimizes response time and makes real - time processing suitable. However, there is still a lack of research on techniques for efficiently managing various services and monitoring IoT devices in real time. Therefore, this paper proposes an efficient framework to monitor IoT devices in fog computing environment. The proposed monitoring framework is based on the oneM2M standard and consists of three detailed frameworks: device manager, monitoring manager, and data manager.

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Cited By

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Gaurav AGupta BHsu CYamaguchi SChui K(2021)Fog Layer-based DDoS attack Detection Approach for Internet-of-Things (IoTs) devices2021 IEEE International Conference on Consumer Electronics (ICCE)10.1109/ICCE50685.2021.9427648(1-5)Online publication date: 10-Jan-2021
https://doi.org/10.1109/ICCE50685.2021.9427648
Xu SChen CChang T(2019)Design of oneM2M-Based Fog Computing ArchitectureIEEE Internet of Things Journal10.1109/JIOT.2019.29291186:6(9464-9474)Online publication date: Dec-2019
https://doi.org/10.1109/JIOT.2019.2929118

Index Terms

Smart IoT monitoring framework based on oneM2M for fog computing
1. Computer systems organization
  1. Architectures
    1. Distributed architectures
      1. Cloud computing
      2. Grid computing
    2. Other architectures
      1. Heterogeneous (hybrid) systems

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Information

Published In

SAC '18: Proceedings of the 33rd Annual ACM Symposium on Applied Computing

April 2018

2327 pages

ISBN:9781450351911

DOI:10.1145/3167132

Conference Chairs:
Hisham M. Haddad
Kennesaw State University
,
Roger L. Wainwright
University of Tulsa
,
Richard Chbeir
University of Pau & Pays Adour, France

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 April 2018

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Ministry of Education
Ministry of Science, ICT

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SAC 2018

Sponsor:

SIGAPP

SAC 2018: Symposium on Applied Computing

April 9 - 13, 2018

Pau, France

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Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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Cited By

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Gaurav AGupta BHsu CYamaguchi SChui K(2021)Fog Layer-based DDoS attack Detection Approach for Internet-of-Things (IoTs) devices2021 IEEE International Conference on Consumer Electronics (ICCE)10.1109/ICCE50685.2021.9427648(1-5)Online publication date: 10-Jan-2021
https://doi.org/10.1109/ICCE50685.2021.9427648
Xu SChen CChang T(2019)Design of oneM2M-Based Fog Computing ArchitectureIEEE Internet of Things Journal10.1109/JIOT.2019.29291186:6(9464-9474)Online publication date: Dec-2019
https://doi.org/10.1109/JIOT.2019.2929118

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Recommendations

A Survey of Fog Computing: Concepts, Applications and Issues

Fog Computing: Issues and Challenges in Security and Forensics

A Pattern for Fog Computing