An IoT Application Business-Model on Top of Cloud and Fog Nodes

Maamar, Z., Al-Khafajiy, M. and Dohan, M. (2021) An IoT Application Business-Model on Top of Cloud and Fog Nodes. In: Barolli, L. (ed.) Advanced Information Networking and Applications : Proceedings of the 35th International Conference on Advanced Information Networking and Applications (AINA-2021), Volume 2. Springer. pp. 174-186.

Zaamar_etal_Springer_2021_An_IoT_Application_Business-Model_on_Top_of_Cloud_and_Fog_Nodes (342kB)

Item Type:	Book Section
Abstract:	This paper discusses the design of a business model dedicated for IoT applications that would be deployed on top of cloud and fog resources. This business model features 2 constructs, flow (specialized into data and collaboration) and placement (specialized into processing and storage). On the one hand, the flow construct is about who sends what and to whom, who collaborates with whom, and what restrictions exist on what to send, to whom to send, and with whom to collaborate. On the other hand, the placement construct is about what and how to fragment, where to store, and what restrictions exist on what and how to fragment, and where to store. The paper also discusses the development of a system built-upon a deep learning model that recommends how the different flows and placements should be formed. These recommendations consider the technical capabilities of cloud and fog resources as well as the networking topology connecting these resources to things.
Creators:	Maamar, Zakaria, Al-Khafajiy, Mohammed and Dohan, Murtada
Editors:	Barolli, Leonard
Publisher:	Springer
Date:	27 April 2021
Date Type:	Publication
Page Range:	pp. 174-186
Title of Book:	Advanced Information Networking and Applications : Proceedings of the 35th International Conference on Advanced Information Networking and Applications (AINA-2021), Volume 2
Series Name:	Lecture Notes in Networks and Systems
Language:	English
ISBN:	9783030750749
DOI:	https://doi.org/10.1007/978-3-030-75075-6_14
Status:	Published / Disseminated
Refereed:	Yes
Related URLs:	https://pure.northampton.ac.uk/en/public...
URI:	http://nectar.northampton.ac.uk/id/eprint/16129

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