An Enterprise Architecture based on Cloud, Fog and Edge Computing for an Airfield Lighting Management System

Adriana  Mijuskovic; Rob Bemthuis; Adina Ioana Aldea; Paul J.M. Havinga

doi:10.1109/EDOCW49879.2020.00021

An Enterprise Architecture based on Cloud, Fog and Edge Computing for an Airfield Lighting Management System

Adriana Mijuskovic^*, Rob Bemthuis, Adina Ioana Aldea, Paul J.M. Havinga

^*Corresponding author for this work

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

12 Citations (Scopus)

737 Downloads (Pure)

Abstract

Followed by the introduction of IoT and new sustainable technologies, energy management, Quality of Service and decrease of communication costs become important and complex for enterprise systems at airports. The aviation authorities’ reports reveal that the airport ICT investments are mainly focused on travel safety, mobile commerce, and new technologies. The main idea behind a smart airport is to deploy IoT network managed through a Cloud-Fog-Edge paradigm for a smart platform and optimize the airport’s efficiency. An IoT cloud-based platform solution supports multiple types of data, advanced analytics, artificial intelligence, and machine learning techniques. However, cloud computing has certain limitations such as increased delay in data reporting, increased latency in accessing user network, limited customization, increased reliance on external network and data privacy. Fog-Cloud and Edge-Cloud paradigms can overcome the weaknesses of cloud computing architectures. Therefore, to understand the organizational impact of combining the usage of cloud, fog, and edge computing, we created an enterprise architecture that can be applied in a smart airport demonstration study. The enterprise architecture modelling was done by using ArchiMate and validated by means of an expert assessment and prototype implementation.

Original language	English
Title of host publication	2020 IEEE 24th International Enterprise Distributed Object Computing Workshop (EDOCW)
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	63-73
Number of pages	11
ISBN (Electronic)	978-1-7281-6471-7
ISBN (Print)	978-1-7281-6472-4
DOIs	https://doi.org/10.1109/EDOCW49879.2020.00021
Publication status	Published - 22 Oct 2020
Event	24th IEEE International Enterprise Distributed Object Computing Conference, EDOC 2020 - Virtual Conference, Eindhoven, Netherlands Duration: 5 Oct 2020 → 8 Oct 2020 Conference number: 24

Publication series

Name	Proceedings - IEEE International Enterprise Distributed Object Computing Workshop, EDOCW
Publisher	IEEE
Volume	2020
ISSN (Print)	2325-6583
ISSN (Electronic)	2325-6605

Conference

Conference	24th IEEE International Enterprise Distributed Object Computing Conference, EDOC 2020
Country/Territory	Netherlands
City	Eindhoven
Period	5/10/20 → 8/10/20

Keywords

Cloud computing
Edge computing
Enterprise Architecture (EA)
Fog computing
Smart airport solutions

Access to Document

10.1109/EDOCW49879.2020.00021

Mijuskovic2020enterpriseAccepted author version, 1.77 MB

Cite this

Mijuskovic, A., Bemthuis, R., Aldea, A. I., & Havinga, P. J. M. (2020). An Enterprise Architecture based on Cloud, Fog and Edge Computing for an Airfield Lighting Management System. In 2020 IEEE 24th International Enterprise Distributed Object Computing Workshop (EDOCW) (pp. 63-73). Article 9233132 (Proceedings - IEEE International Enterprise Distributed Object Computing Workshop, EDOCW; Vol. 2020). IEEE. https://doi.org/10.1109/EDOCW49879.2020.00021

Mijuskovic, Adriana ; Bemthuis, Rob ; Aldea, Adina Ioana et al. / An Enterprise Architecture based on Cloud, Fog and Edge Computing for an Airfield Lighting Management System. 2020 IEEE 24th International Enterprise Distributed Object Computing Workshop (EDOCW). Piscataway, NJ : IEEE, 2020. pp. 63-73 (Proceedings - IEEE International Enterprise Distributed Object Computing Workshop, EDOCW).

@inproceedings{ec306a794e2146b9a325114217c1b629,

title = "An Enterprise Architecture based on Cloud, Fog and Edge Computing for an Airfield Lighting Management System",

abstract = "Followed by the introduction of IoT and new sustainable technologies, energy management, Quality of Service and decrease of communication costs become important and complex for enterprise systems at airports. The aviation authorities{\textquoteright} reports reveal that the airport ICT investments are mainly focused on travel safety, mobile commerce, and new technologies. The main idea behind a smart airport is to deploy IoT network managed through a Cloud-Fog-Edge paradigm for a smart platform and optimize the airport{\textquoteright}s efficiency. An IoT cloud-based platform solution supports multiple types of data, advanced analytics, artificial intelligence, and machine learning techniques. However, cloud computing has certain limitations such as increased delay in data reporting, increased latency in accessing user network, limited customization, increased reliance on external network and data privacy. Fog-Cloud and Edge-Cloud paradigms can overcome the weaknesses of cloud computing architectures. Therefore, to understand the organizational impact of combining the usage of cloud, fog, and edge computing, we created an enterprise architecture that can be applied in a smart airport demonstration study. The enterprise architecture modelling was done by using ArchiMate and validated by means of an expert assessment and prototype implementation. ",

keywords = "Cloud computing, Edge computing, Enterprise Architecture (EA), Fog computing, Smart airport solutions",

author = "Adriana Mijuskovic and Rob Bemthuis and Aldea, {Adina Ioana} and Havinga, {Paul J.M.}",

note = "Funding Information: This work is part of the research programme DataRel with project number 628.009.015, which is (partly) financed by the Dutch Research Council (NWO). We also like to thank the experts for their valuable feedback. Publisher Copyright: {\textcopyright} 2020 IEEE.; 24th IEEE International Enterprise Distributed Object Computing Conference, EDOC 2020 ; Conference date: 05-10-2020 Through 08-10-2020",

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language = "English",

isbn = "978-1-7281-6472-4",

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Mijuskovic, A, Bemthuis, R, Aldea, AI & Havinga, PJM 2020, An Enterprise Architecture based on Cloud, Fog and Edge Computing for an Airfield Lighting Management System. in 2020 IEEE 24th International Enterprise Distributed Object Computing Workshop (EDOCW)., 9233132, Proceedings - IEEE International Enterprise Distributed Object Computing Workshop, EDOCW, vol. 2020, IEEE, Piscataway, NJ, pp. 63-73, 24th IEEE International Enterprise Distributed Object Computing Conference, EDOC 2020, Eindhoven, Netherlands, 5/10/20. https://doi.org/10.1109/EDOCW49879.2020.00021

An Enterprise Architecture based on Cloud, Fog and Edge Computing for an Airfield Lighting Management System. / Mijuskovic, Adriana ; Bemthuis, Rob; Aldea, Adina Ioana et al.
2020 IEEE 24th International Enterprise Distributed Object Computing Workshop (EDOCW). Piscataway, NJ: IEEE, 2020. p. 63-73 9233132 (Proceedings - IEEE International Enterprise Distributed Object Computing Workshop, EDOCW; Vol. 2020).

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

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AB - Followed by the introduction of IoT and new sustainable technologies, energy management, Quality of Service and decrease of communication costs become important and complex for enterprise systems at airports. The aviation authorities’ reports reveal that the airport ICT investments are mainly focused on travel safety, mobile commerce, and new technologies. The main idea behind a smart airport is to deploy IoT network managed through a Cloud-Fog-Edge paradigm for a smart platform and optimize the airport’s efficiency. An IoT cloud-based platform solution supports multiple types of data, advanced analytics, artificial intelligence, and machine learning techniques. However, cloud computing has certain limitations such as increased delay in data reporting, increased latency in accessing user network, limited customization, increased reliance on external network and data privacy. Fog-Cloud and Edge-Cloud paradigms can overcome the weaknesses of cloud computing architectures. Therefore, to understand the organizational impact of combining the usage of cloud, fog, and edge computing, we created an enterprise architecture that can be applied in a smart airport demonstration study. The enterprise architecture modelling was done by using ArchiMate and validated by means of an expert assessment and prototype implementation.

KW - Cloud computing

KW - Edge computing

KW - Enterprise Architecture (EA)

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KW - Smart airport solutions

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PB - IEEE

CY - Piscataway, NJ

T2 - 24th IEEE International Enterprise Distributed Object Computing Conference, EDOC 2020

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ER -

Mijuskovic A, Bemthuis R, Aldea AI, Havinga PJM. An Enterprise Architecture based on Cloud, Fog and Edge Computing for an Airfield Lighting Management System. In 2020 IEEE 24th International Enterprise Distributed Object Computing Workshop (EDOCW). Piscataway, NJ: IEEE. 2020. p. 63-73. 9233132. (Proceedings - IEEE International Enterprise Distributed Object Computing Workshop, EDOCW). doi: 10.1109/EDOCW49879.2020.00021

An Enterprise Architecture based on Cloud, Fog and Edge Computing for an Airfield Lighting Management System

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24th IEEE International Enterprise Distributed Object Computing Conference, EDOC 2020

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An Enterprise Architecture based on Cloud, Fog and Edge Computing for an Airfield Lighting Management System

Abstract

Publication series

Conference

Keywords

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24th IEEE International Enterprise Distributed Object Computing Conference, EDOC 2020

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