IoT Edge Orchestration for Distributed DNN Service with Containerized Resource Allocation

Hyung Bin Park; Tae Young Kim; Young Hwan Jin; Su Kyoung Lee

doi:10.1109/CCNC49033.2022.9700698

IoT Edge Orchestration for Distributed DNN Service with Containerized Resource Allocation

Hyung Bin Park, Tae Young Kim, Young Hwan Jin, Su Kyoung Lee

College of Computing

Research output: Contribution to journal › Conference article › peer-review

Abstract

Increase in demand for intelligent Internet of Things (IoT) services has brought a resource shortage to the limited resources of edge cloud. We propose to serve intelligent IoT service requests by running distributed intelligent services on IoT devices. However, allocation of heterogeneous IoT resources is non-trivial. We present a novel orchestration architecture to manage the continuously changing IoT environment and its resources while providing distributed intelligent service through containerized resources.

Original language	English
Pages (from-to)	483-484
Number of pages	2
Journal	Proceedings - IEEE Consumer Communications and Networking Conference, CCNC
DOIs	https://doi.org/10.1109/CCNC49033.2022.9700698
Publication status	Published - 2022
Event	19th IEEE Annual Consumer Communications and Networking Conference, CCNC 2022 - Virtual, Online, United States Duration: 2022 Jan 8 → 2022 Jan 11

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Networks and Communications
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

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10.1109/CCNC49033.2022.9700698

Cite this

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title = "IoT Edge Orchestration for Distributed DNN Service with Containerized Resource Allocation",

abstract = "Increase in demand for intelligent Internet of Things (IoT) services has brought a resource shortage to the limited resources of edge cloud. We propose to serve intelligent IoT service requests by running distributed intelligent services on IoT devices. However, allocation of heterogeneous IoT resources is non-trivial. We present a novel orchestration architecture to manage the continuously changing IoT environment and its resources while providing distributed intelligent service through containerized resources.",

author = "Park, {Hyung Bin} and Kim, {Tae Young} and Jin, {Young Hwan} and Lee, {Su Kyoung}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 19th IEEE Annual Consumer Communications and Networking Conference, CCNC 2022 ; Conference date: 08-01-2022 Through 11-01-2022",

year = "2022",

doi = "10.1109/CCNC49033.2022.9700698",

language = "English",

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journal = "Proceedings - IEEE Consumer Communications and Networking Conference, CCNC",

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AU - Park, Hyung Bin

AU - Kim, Tae Young

AU - Jin, Young Hwan

AU - Lee, Su Kyoung

PY - 2022

Y1 - 2022

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AB - Increase in demand for intelligent Internet of Things (IoT) services has brought a resource shortage to the limited resources of edge cloud. We propose to serve intelligent IoT service requests by running distributed intelligent services on IoT devices. However, allocation of heterogeneous IoT resources is non-trivial. We present a novel orchestration architecture to manage the continuously changing IoT environment and its resources while providing distributed intelligent service through containerized resources.

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EP - 484

JO - Proceedings - IEEE Consumer Communications and Networking Conference, CCNC

JF - Proceedings - IEEE Consumer Communications and Networking Conference, CCNC

T2 - 19th IEEE Annual Consumer Communications and Networking Conference, CCNC 2022

Y2 - 8 January 2022 through 11 January 2022

ER -

IoT Edge Orchestration for Distributed DNN Service with Containerized Resource Allocation

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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