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

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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 languageEnglish
Title of host publication2020 IEEE 24th International Enterprise Distributed Object Computing Workshop (EDOCW)
PublisherIEEE
Pages63-73
Number of pages11
DOIs
Publication statusPublished - 22 Oct 2020
Event24th IEEE International Enterprise Distributed Object Computing Conference, EDOC 2020 - Virtual Conference, Eindhoven, Netherlands
Duration: 5 Oct 20208 Oct 2020
Conference number: 24

Conference

Conference24th IEEE International Enterprise Distributed Object Computing Conference, EDOC 2020
CountryNetherlands
CityEindhoven
Period5/10/208/10/20

Keywords

  • enterprise architecture
  • smart airport solutions
  • cloud computing
  • fog computing
  • edge computing

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