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Edge on wheels with OMNIBUS networking for 6G technology

In recent years, both the scientific community and the industry have focused on moving computational resources with remote data centres from the centralized cloud to decentralised computing, making them closer to the source or the so called 'edge' of the network. This is due to the fact th...

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Main Authors:	Ergen, Mustafa, Inan, Feride, Ergen, Onur, Shayea, Ibraheem, Tuysuz, Mehmet Fatih, Azizan, Azizul, Ure, Nazim Kemal, Nekovee, Maziar
Format:	Article
Language:	English
Published:	Institute of Electrical and Electronics Engineers Inc. 2020
Subjects:	T Technology (General)
Online Access:	http://eprints.utm.my/id/eprint/90521/1/AzizulAzizan2020_EdgeonWheelsWithOMNIBUSNetworking.pdf http://eprints.utm.my/id/eprint/90521/ http://dx.doi.org/10.1109/ACCESS.2020.3038233
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id	my.utm.90521
record_format	eprints
spelling	my.utm.905212021-04-30T14:42:04Z http://eprints.utm.my/id/eprint/90521/ Edge on wheels with OMNIBUS networking for 6G technology Ergen, Mustafa Inan, Feride Ergen, Onur Shayea, Ibraheem Tuysuz, Mehmet Fatih Azizan, Azizul Ure, Nazim Kemal Nekovee, Maziar T Technology (General) In recent years, both the scientific community and the industry have focused on moving computational resources with remote data centres from the centralized cloud to decentralised computing, making them closer to the source or the so called 'edge' of the network. This is due to the fact that the cloud system alone cannot sufficiently support the huge demands of future networks with the massive growth of new, time-critical applications such as self-driving vehicles, Augmented Reality/Virtual Reality techniques, advanced robotics and critical remote control of smart Internet-of-Things applications. While decentralised edge computing will form the backbone of future heterogeneous networks, it still remains at its infancy stage. Currently, there is no comprehensive platform. In this article, we propose a novel decentralised edge architecture, a solution called OMNIBUS, which enables a continuous distribution of computational capacity for end-devices in different localities by exploiting moving vehicles as storage and computation resources. Scalability and adaptability are the main features that differentiate the proposed solution from existing edge computing models. The proposed solution has the potential to scale infinitely, which will lead to a significant increase in network speed. The OMNIBUS solution rests on developing two predictive models: (i) to learn timing and direction of vehicular movements to ascertain computational capacity for a given locale, and (ii) to introduce a theoretical framework for sequential to parallel conversion in learning, optimisation and caching under contingent circumstances due to vehicles in motion. Institute of Electrical and Electronics Engineers Inc. 2020 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/90521/1/AzizulAzizan2020_EdgeonWheelsWithOMNIBUSNetworking.pdf Ergen, Mustafa and Inan, Feride and Ergen, Onur and Shayea, Ibraheem and Tuysuz, Mehmet Fatih and Azizan, Azizul and Ure, Nazim Kemal and Nekovee, Maziar (2020) Edge on wheels with OMNIBUS networking for 6G technology. IEEE Access, 8 . pp. 215928-215942. ISSN 2169-3536 http://dx.doi.org/10.1109/ACCESS.2020.3038233
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Ergen, Mustafa Inan, Feride Ergen, Onur Shayea, Ibraheem Tuysuz, Mehmet Fatih Azizan, Azizul Ure, Nazim Kemal Nekovee, Maziar Edge on wheels with OMNIBUS networking for 6G technology
description	In recent years, both the scientific community and the industry have focused on moving computational resources with remote data centres from the centralized cloud to decentralised computing, making them closer to the source or the so called 'edge' of the network. This is due to the fact that the cloud system alone cannot sufficiently support the huge demands of future networks with the massive growth of new, time-critical applications such as self-driving vehicles, Augmented Reality/Virtual Reality techniques, advanced robotics and critical remote control of smart Internet-of-Things applications. While decentralised edge computing will form the backbone of future heterogeneous networks, it still remains at its infancy stage. Currently, there is no comprehensive platform. In this article, we propose a novel decentralised edge architecture, a solution called OMNIBUS, which enables a continuous distribution of computational capacity for end-devices in different localities by exploiting moving vehicles as storage and computation resources. Scalability and adaptability are the main features that differentiate the proposed solution from existing edge computing models. The proposed solution has the potential to scale infinitely, which will lead to a significant increase in network speed. The OMNIBUS solution rests on developing two predictive models: (i) to learn timing and direction of vehicular movements to ascertain computational capacity for a given locale, and (ii) to introduce a theoretical framework for sequential to parallel conversion in learning, optimisation and caching under contingent circumstances due to vehicles in motion.
format	Article
author	Ergen, Mustafa Inan, Feride Ergen, Onur Shayea, Ibraheem Tuysuz, Mehmet Fatih Azizan, Azizul Ure, Nazim Kemal Nekovee, Maziar
author_facet	Ergen, Mustafa Inan, Feride Ergen, Onur Shayea, Ibraheem Tuysuz, Mehmet Fatih Azizan, Azizul Ure, Nazim Kemal Nekovee, Maziar
author_sort	Ergen, Mustafa
title	Edge on wheels with OMNIBUS networking for 6G technology
title_short	Edge on wheels with OMNIBUS networking for 6G technology
title_full	Edge on wheels with OMNIBUS networking for 6G technology
title_fullStr	Edge on wheels with OMNIBUS networking for 6G technology
title_full_unstemmed	Edge on wheels with OMNIBUS networking for 6G technology
title_sort	edge on wheels with omnibus networking for 6g technology
publisher	Institute of Electrical and Electronics Engineers Inc.
publishDate	2020
url	http://eprints.utm.my/id/eprint/90521/1/AzizulAzizan2020_EdgeonWheelsWithOMNIBUSNetworking.pdf http://eprints.utm.my/id/eprint/90521/ http://dx.doi.org/10.1109/ACCESS.2020.3038233
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score	13.211869

Edge on wheels with OMNIBUS networking for 6G technology

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