On-Demand Provisioning of Wearable Sensors Data Processing Services in Edge Computing

Lionel  Nkenyereye; Boon Giin Lee; Kentaro  Go; Xiaoyang  Mao; Wan-Young  Chung

doi:10.1109/SENSORS56945.2023.10325028

On-Demand Provisioning of Wearable Sensors Data Processing Services in Edge Computing

Lionel Nkenyereye, Boon Giin Lee, Kentaro Go, Xiaoyang Mao, Wan-Young Chung

School of Computer Science

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

Abstract

The wearable sensor applications and services are highly sensible to computation latency. The infrastructure that processes data closer to its source or end user named as multi-access edge computing (MEC) has emerged to push the data processing services away from the centralized nodes to the network edge, enabling wearable sensor applications with the geolocation awareness. In this paper, we introduce on-demand provisioning of wearable sensors processing services in MEC system, a continuous deployment strategy that offer availability of wearable data processing services packaged as an application ready to be provisioned on-demand by the Docker container virtualization technique at the edge of the network. This allows, thus, fulfilling different requirements, such as low latency and accuracy.

Original language	English
Title of host publication	2023 IEEE SENSORS
Place of Publication	Vienna, Austria
Publisher	IEEE
ISBN (Electronic)	9798350303872
ISBN (Print)	9798350303889
DOIs	https://doi.org/10.1109/SENSORS56945.2023.10325028
Publication status	Published - 28 Nov 2023

Keywords

Wearable sensors
Continuous deployment
Data processing
multi-access edge computing
Service orchestration
Function-as-a-Service

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10.1109/SENSORS56945.2023.10325028

Cite this

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title = "On-Demand Provisioning of Wearable Sensors Data Processing Services in Edge Computing",

abstract = "The wearable sensor applications and services are highly sensible to computation latency. The infrastructure that processes data closer to its source or end user named as multi-access edge computing (MEC) has emerged to push the data processing services away from the centralized nodes to the network edge, enabling wearable sensor applications with the geolocation awareness. In this paper, we introduce on-demand provisioning of wearable sensors processing services in MEC system, a continuous deployment strategy that offer availability of wearable data processing services packaged as an application ready to be provisioned on-demand by the Docker container virtualization technique at the edge of the network. This allows, thus, fulfilling different requirements, such as low latency and accuracy.",

keywords = "Wearable sensors, Continuous deployment, Data processing, multi-access edge computing, Service orchestration, Function-as-a-Service",

author = "Lionel Nkenyereye and Lee, {Boon Giin} and Kentaro Go and Xiaoyang Mao and Wan-Young Chung",

year = "2023",

month = nov,

day = "28",

doi = "10.1109/SENSORS56945.2023.10325028",

language = "English",

isbn = "9798350303889",

booktitle = "2023 IEEE SENSORS",

publisher = "IEEE",

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T1 - On-Demand Provisioning of Wearable Sensors Data Processing Services in Edge Computing

AU - Nkenyereye, Lionel

AU - Lee, Boon Giin

AU - Go, Kentaro

AU - Mao, Xiaoyang

AU - Chung, Wan-Young

PY - 2023/11/28

Y1 - 2023/11/28

N2 - The wearable sensor applications and services are highly sensible to computation latency. The infrastructure that processes data closer to its source or end user named as multi-access edge computing (MEC) has emerged to push the data processing services away from the centralized nodes to the network edge, enabling wearable sensor applications with the geolocation awareness. In this paper, we introduce on-demand provisioning of wearable sensors processing services in MEC system, a continuous deployment strategy that offer availability of wearable data processing services packaged as an application ready to be provisioned on-demand by the Docker container virtualization technique at the edge of the network. This allows, thus, fulfilling different requirements, such as low latency and accuracy.

AB - The wearable sensor applications and services are highly sensible to computation latency. The infrastructure that processes data closer to its source or end user named as multi-access edge computing (MEC) has emerged to push the data processing services away from the centralized nodes to the network edge, enabling wearable sensor applications with the geolocation awareness. In this paper, we introduce on-demand provisioning of wearable sensors processing services in MEC system, a continuous deployment strategy that offer availability of wearable data processing services packaged as an application ready to be provisioned on-demand by the Docker container virtualization technique at the edge of the network. This allows, thus, fulfilling different requirements, such as low latency and accuracy.

KW - Wearable sensors

KW - Continuous deployment

KW - Data processing

KW - multi-access edge computing

KW - Service orchestration

KW - Function-as-a-Service

UR - https://ieeexplore.ieee.org/document/10325028

U2 - 10.1109/SENSORS56945.2023.10325028

DO - 10.1109/SENSORS56945.2023.10325028

M3 - Conference contribution

SN - 9798350303889

BT - 2023 IEEE SENSORS

PB - IEEE

CY - Vienna, Austria

ER -

On-Demand Provisioning of Wearable Sensors Data Processing Services in Edge Computing

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Keywords

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