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Dependability in fog computing: Challenges and solutions

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journal contribution
posted on 01.06.2021, 04:29 by Sara Ibraheem S AlraddadySara Ibraheem S Alraddady, Alice LiAlice Li, Boon SohBoon Soh, M AlZain
The tremendous increase in IoT devices and the amount of data they produced is very expensive to be processed at cloud data centers. Therefore, fog computing was introduced in 2012 by Cisco as a decentralized computing environment that is considered to be more efficient in handling such a plethora in the number of requests. Fog computing is a distributed computing paradigm that focuses on bringing data processing at the network peripheral to reduce response time and increase the quality of service. Dependability challenges of such distributed and heterogeneous computing environments are considered in this paper. Because fog computing is a new computing paradigm, several studies have been presented to tackle its challenges and issues. However, dependability in specific did not receive much attention. In the paper, we explore several solutions to increase dependability in fog computing such as fault tolerance techniques, placement policies, middleware, and data management mechanisms aiming to help system designers choose the most appropriate solution.

History

Publication Date

01/04/2021

Journal

International Journal of Advanced and Applied Sciences

Volume

8

Issue

4

Pagination

(p. 82-88)

Publisher

Institute of Advanced Science Extension

ISSN

2313-626X

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The Author reserves all moral rights over the deposited text and must be credited if any re-use occurs. Documents deposited in OPAL are the Open Access versions of outputs published elsewhere. Changes resulting from the publishing process may therefore not be reflected in this document. The final published version may be obtained via the publisher’s DOI. Please note that additional copyright and access restrictions may apply to the published version.

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