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Simulating fog and edge computing scenarios: an overview and research challenges

Svorobej, Sergej ORCID: 0000-0001-8900-8700, Takako Endo, Patricia ORCID: 0000-0002-9163-5583, Bendechache, Malika ORCID: 0000-0003-0069-1860, Filelis-Papadopoulos, Christos ORCID: 0000-0002-6591-970X, Giannoutakis, Konstantinos ORCID: 0000-0001-8939-4912, Gravvanis, George A. ORCID: 0000-0003-1562-3633, Tzovaras, Dimitrios, Byrne, James ORCID: 0000-0002-9260-6020 and Lynn, Theo ORCID: 0000-0001-9284-7580 (2019) Simulating fog and edge computing scenarios: an overview and research challenges. Future Internet, 11 (3). ISSN 1999-5903

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Abstract

The fourth industrial revolution heralds a paradigm shift in how people, processes, things, data and networks communicate and connect with each other. Conventional computing infrastructures are struggling to satisfy dramatic growth in demand from a deluge of connected heterogeneous endpoints located at the edge of networks while, at the same time, meeting quality of service levels. The complexity of computing at the edge makes it increasingly difficult for infrastructure providers to plan for and provision resources to meet this demand. While simulation frameworks are used extensively in the modelling of cloud computing environments in order to test and validate technical solutions, they are at a nascent stage of development and adoption for fog and edge computing. This paper provides an overview of challenges posed by fog and edge computing in relation to simulation.

Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:cloud computing; edge computing; fog computing; simulation; modelling; simulation challenges
Subjects:Computer Science > Computer simulation
DCU Faculties and Centres:DCU Faculties and Schools > DCU Business School
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > ADAPT
Publisher:MDPI
Official URL:http://dx.doi.org/10.3390/fi11030055
Copyright Information:© 2019 MDPI. Open Access
Funders:European Union’s Horizon 2020 research and innovation 415 programme grant No. 732667 (RECAP).
ID Code:24595
Deposited On:10 Jun 2020 15:54 by Malika Bendechache . Last Modified 01 Dec 2020 17:25

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