Managed edge computing on Internet-of-Things devices for smart city applications

Yu Chen Hsieh; Hua Jun Hong; Pei Hsuan Tsai; Yu Rong Wang; Qiuxi Zhu; Md Yusuf Sarwar Uddin; Nalini Venkatasubramanian; Cheng Hsin Hsu

doi:10.1109/NOMS.2018.8406133

Managed edge computing on Internet-of-Things devices for smart city applications

Yu Chen Hsieh, Hua Jun Hong, Pei Hsuan Tsai, Yu Rong Wang, Qiuxi Zhu, Md Yusuf Sarwar Uddin, Nalini Venkatasubramanian, Cheng Hsin Hsu

Institute of Manufacturing Information and Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

13 Citations (Scopus)

Abstract

We demonstrate a managed edge computing platform for Internet-of-Things (IoT) devices, which supports dynamic deployment of virtualized containers running distributed analytics. We build a model city, and install multiple Raspberry Pis as minions, and a mini PC as the master. Through the web dashboard on the master, we show how users can remotely monitor, manage, and upgrade the IoT analytics and devices. Multiple concrete IoT analytics, namely: (i) air quality monitor, (ii) sound classifier, and (iii) image recognizer are demonstrated. Several sample measurements on deployment speed, Quality-of- Service (QoS) achievements, and event-driven mechanisms are also carried out on the testbed.

Original language	English
Title of host publication	IEEE/IFIP Network Operations and Management Symposium
Subtitle of host publication	Cognitive Management in a Cyber World, NOMS 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-2
Number of pages	2
ISBN (Electronic)	9781538634165
DOIs	https://doi.org/10.1109/NOMS.2018.8406133
Publication status	Published - 2018 Jul 6
Event	2018 IEEE/IFIP Network Operations and Management Symposium, NOMS 2018 - Taipei, Taiwan Duration: 2018 Apr 23 → 2018 Apr 27

Publication series

Name	IEEE/IFIP Network Operations and Management Symposium: Cognitive Management in a Cyber World, NOMS 2018

Other

Other	2018 IEEE/IFIP Network Operations and Management Symposium, NOMS 2018
Country/Territory	Taiwan
City	Taipei
Period	18-04-23 → 18-04-27

All Science Journal Classification (ASJC) codes

Safety, Risk, Reliability and Quality
Computer Networks and Communications
Information Systems and Management
Control and Optimization

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/NOMS.2018.8406133

Cite this

Hsieh, Y. C., Hong, H. J., Tsai, P. H., Wang, Y. R., Zhu, Q., Uddin, M. Y. S., Venkatasubramanian, N., & Hsu, C. H. (2018). Managed edge computing on Internet-of-Things devices for smart city applications. In IEEE/IFIP Network Operations and Management Symposium: Cognitive Management in a Cyber World, NOMS 2018 (pp. 1-2). (IEEE/IFIP Network Operations and Management Symposium: Cognitive Management in a Cyber World, NOMS 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NOMS.2018.8406133

Hsieh, Yu Chen ; Hong, Hua Jun ; Tsai, Pei Hsuan et al. / Managed edge computing on Internet-of-Things devices for smart city applications. IEEE/IFIP Network Operations and Management Symposium: Cognitive Management in a Cyber World, NOMS 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-2 (IEEE/IFIP Network Operations and Management Symposium: Cognitive Management in a Cyber World, NOMS 2018).

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title = "Managed edge computing on Internet-of-Things devices for smart city applications",

abstract = "We demonstrate a managed edge computing platform for Internet-of-Things (IoT) devices, which supports dynamic deployment of virtualized containers running distributed analytics. We build a model city, and install multiple Raspberry Pis as minions, and a mini PC as the master. Through the web dashboard on the master, we show how users can remotely monitor, manage, and upgrade the IoT analytics and devices. Multiple concrete IoT analytics, namely: (i) air quality monitor, (ii) sound classifier, and (iii) image recognizer are demonstrated. Several sample measurements on deployment speed, Quality-of- Service (QoS) achievements, and event-driven mechanisms are also carried out on the testbed.",

author = "Hsieh, {Yu Chen} and Hong, {Hua Jun} and Tsai, {Pei Hsuan} and Wang, {Yu Rong} and Qiuxi Zhu and Uddin, {Md Yusuf Sarwar} and Nalini Venkatasubramanian and Hsu, {Cheng Hsin}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE/IFIP Network Operations and Management Symposium, NOMS 2018 ; Conference date: 23-04-2018 Through 27-04-2018",

year = "2018",

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doi = "10.1109/NOMS.2018.8406133",

language = "English",

series = "IEEE/IFIP Network Operations and Management Symposium: Cognitive Management in a Cyber World, NOMS 2018",

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Hsieh, YC, Hong, HJ, Tsai, PH, Wang, YR, Zhu, Q, Uddin, MYS, Venkatasubramanian, N & Hsu, CH 2018, Managed edge computing on Internet-of-Things devices for smart city applications. in IEEE/IFIP Network Operations and Management Symposium: Cognitive Management in a Cyber World, NOMS 2018. IEEE/IFIP Network Operations and Management Symposium: Cognitive Management in a Cyber World, NOMS 2018, Institute of Electrical and Electronics Engineers Inc., pp. 1-2, 2018 IEEE/IFIP Network Operations and Management Symposium, NOMS 2018, Taipei, Taiwan, 18-04-23. https://doi.org/10.1109/NOMS.2018.8406133

Managed edge computing on Internet-of-Things devices for smart city applications. / Hsieh, Yu Chen; Hong, Hua Jun; Tsai, Pei Hsuan et al.
IEEE/IFIP Network Operations and Management Symposium: Cognitive Management in a Cyber World, NOMS 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-2 (IEEE/IFIP Network Operations and Management Symposium: Cognitive Management in a Cyber World, NOMS 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - We demonstrate a managed edge computing platform for Internet-of-Things (IoT) devices, which supports dynamic deployment of virtualized containers running distributed analytics. We build a model city, and install multiple Raspberry Pis as minions, and a mini PC as the master. Through the web dashboard on the master, we show how users can remotely monitor, manage, and upgrade the IoT analytics and devices. Multiple concrete IoT analytics, namely: (i) air quality monitor, (ii) sound classifier, and (iii) image recognizer are demonstrated. Several sample measurements on deployment speed, Quality-of- Service (QoS) achievements, and event-driven mechanisms are also carried out on the testbed.

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Hsieh YC, Hong HJ, Tsai PH, Wang YR, Zhu Q, Uddin MYS et al. Managed edge computing on Internet-of-Things devices for smart city applications. In IEEE/IFIP Network Operations and Management Symposium: Cognitive Management in a Cyber World, NOMS 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-2. (IEEE/IFIP Network Operations and Management Symposium: Cognitive Management in a Cyber World, NOMS 2018). doi: 10.1109/NOMS.2018.8406133

Managed edge computing on Internet-of-Things devices for smart city applications

Abstract

Publication series

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All Science Journal Classification (ASJC) codes

UN SDGs

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