Mobile iot-edge-cloud continuum based and devops enabled software framework

Janis Judvaitis; Rihards Balass; Modris Greitans

doi:10.3390/jsan10040062

Mobile iot-edge-cloud continuum based and devops enabled software framework

Janis Judvaitis^*
, Rihards Balass
, Modris Greitans

^*Šī darba korespondējošais autors

Institute of Electronics and Computer Science

Zinātniskās darbības rezultāts: Devums žurnālam › Zinātniskais raksts (žurnālā) › koleģiāli recenzēts

12 Atsauces (Scopus)

Kopsavilkums

This research aims to provide a high-level software framework for IoT-Edge-Cloud computational continuum-based applications with support for mobile IoT and DevOps integration utilizing the Edge computing paradigms. This is achieved by dividing the system in a modular fashion and providing a loosely coupled service and module descriptions for usage in the respective system layers for flexible and yet trustworthy implementation. The article describes the software architecture for a DevOps-enabled Edge computing solution in the IoT-Edge-Cloud computational continuum with the support for flexible and mobile IoT solutions. The proposed framework is validated on an intelligent transport system use case in the rolling stock domain and showcases the improvements gained by using the proposed IoT-Edge-Cloud continuum framework.

Oriģinālvaloda	Angļu
Raksta numurs	62
Žurnāls	Journal of Sensor and Actuator Networks
Sējums	10
Izdevuma numurs	4
DOIs	https://doi.org/10.3390/jsan10040062
Publikācijas statuss	Publicēts - dec. 2021
Ārēji publicēts	Jā

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title = "Mobile iot-edge-cloud continuum based and devops enabled software framework",

abstract = "This research aims to provide a high-level software framework for IoT-Edge-Cloud computational continuum-based applications with support for mobile IoT and DevOps integration utilizing the Edge computing paradigms. This is achieved by dividing the system in a modular fashion and providing a loosely coupled service and module descriptions for usage in the respective system layers for flexible and yet trustworthy implementation. The article describes the software architecture for a DevOps-enabled Edge computing solution in the IoT-Edge-Cloud computational continuum with the support for flexible and mobile IoT solutions. The proposed framework is validated on an intelligent transport system use case in the rolling stock domain and showcases the improvements gained by using the proposed IoT-Edge-Cloud continuum framework.",

keywords = "DevOps, Edge, Edge computing, IoT, Mobile IoT, Rolling stock",

author = "Janis Judvaitis and Rihards Balass and Modris Greitans",

note = "Publisher Copyright: {\textcopyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland.",

year = "2021",

month = dec,

doi = "10.3390/jsan10040062",

language = "English",

volume = "10",

journal = "Journal of Sensor and Actuator Networks",

issn = "2224-2708",

publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

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T1 - Mobile iot-edge-cloud continuum based and devops enabled software framework

AU - Judvaitis, Janis

AU - Balass, Rihards

AU - Greitans, Modris

PY - 2021/12

Y1 - 2021/12

N2 - This research aims to provide a high-level software framework for IoT-Edge-Cloud computational continuum-based applications with support for mobile IoT and DevOps integration utilizing the Edge computing paradigms. This is achieved by dividing the system in a modular fashion and providing a loosely coupled service and module descriptions for usage in the respective system layers for flexible and yet trustworthy implementation. The article describes the software architecture for a DevOps-enabled Edge computing solution in the IoT-Edge-Cloud computational continuum with the support for flexible and mobile IoT solutions. The proposed framework is validated on an intelligent transport system use case in the rolling stock domain and showcases the improvements gained by using the proposed IoT-Edge-Cloud continuum framework.

AB - This research aims to provide a high-level software framework for IoT-Edge-Cloud computational continuum-based applications with support for mobile IoT and DevOps integration utilizing the Edge computing paradigms. This is achieved by dividing the system in a modular fashion and providing a loosely coupled service and module descriptions for usage in the respective system layers for flexible and yet trustworthy implementation. The article describes the software architecture for a DevOps-enabled Edge computing solution in the IoT-Edge-Cloud computational continuum with the support for flexible and mobile IoT solutions. The proposed framework is validated on an intelligent transport system use case in the rolling stock domain and showcases the improvements gained by using the proposed IoT-Edge-Cloud continuum framework.

KW - DevOps

KW - Edge

KW - Edge computing

KW - IoT

KW - Mobile IoT

KW - Rolling stock

UR - https://www.scopus.com/pages/publications/85119038134

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DO - 10.3390/jsan10040062

M3 - Article

AN - SCOPUS:85119038134

SN - 2224-2708

VL - 10

JO - Journal of Sensor and Actuator Networks

JF - Journal of Sensor and Actuator Networks

IS - 4

M1 - 62

ER -

Mobile iot-edge-cloud continuum based and devops enabled software framework

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