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    Rights statement: This is the author’s version of a work that was accepted for publication in Journal of Network and Computer Applications. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Network and Computer Applications, 169, 2020 DOI: 10.1016/j.jnca.2020.102784

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Fog computing systems: State of the art, research issues and future trends, with a focus on resilience

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Fog computing systems : State of the art, research issues and future trends, with a focus on resilience. / Moura, Jose Andre; Hutchison, David.

In: Journal of Network and Computer Applications, Vol. 169, 102784, 01.11.2020.

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Moura, Jose Andre ; Hutchison, David. / Fog computing systems : State of the art, research issues and future trends, with a focus on resilience. In: Journal of Network and Computer Applications. 2020 ; Vol. 169.

Bibtex

@article{9588af884446479ba003695b898289b6,
title = "Fog computing systems: State of the art, research issues and future trends, with a focus on resilience",
abstract = "Many future innovative computing services will use Fog Computing Systems (FCS), integrated with Internet of Things (IoT) resources. These new services, built on the convergence of several distinct technologies, need to fulfil time-sensitive functions, provide variable levels of integration with their environment, and incorporate data storage, computation, communications, sensing, and control. There are, however, significant problems to be solved before such systems can be considered fit for purpose. The high heterogeneity, complexity, and dynamics of these resource-constrained systems bring new challenges to their robust and reliable operation, which implies the need for integral resilience management strategies. This paper surveys the state of the art in the relevant fields, and discusses the research issues and future trends that are emerging. We envisage future applications that have very stringent requirements, notably high-precision latency and synchronization between a large set of flows, where FCSs are key to supporting them. Thus, we hope to provide new insights into the design and management of resilient FCSs that are formed by IoT devices, edge computer servers and wireless sensor networks; these systems can be modelled using Game Theory, and flexibly programmed with the latest software and virtualization platforms.",
keywords = "Fog computing, Internet of things, IoT, Edge computing, Cyber-physical systems, CPS, Software defined networks, SDN, Challenges, Game theory, Network function virtualization, NFV, Cyber-attacks, Resilient systems, Self-awareness, Network slicing",
author = "Moura, {Jose Andre} and David Hutchison",
year = "2020",
month = nov,
day = "1",
doi = "10.1016/j.jnca.2020.102784",
language = "English",
volume = "169",
journal = "Journal of Network and Computer Applications",
issn = "1084-8045",
publisher = "Academic Press Inc.",

}

RIS

TY - JOUR

T1 - Fog computing systems

T2 - State of the art, research issues and future trends, with a focus on resilience

AU - Moura, Jose Andre

AU - Hutchison, David

PY - 2020/11/1

Y1 - 2020/11/1

N2 - Many future innovative computing services will use Fog Computing Systems (FCS), integrated with Internet of Things (IoT) resources. These new services, built on the convergence of several distinct technologies, need to fulfil time-sensitive functions, provide variable levels of integration with their environment, and incorporate data storage, computation, communications, sensing, and control. There are, however, significant problems to be solved before such systems can be considered fit for purpose. The high heterogeneity, complexity, and dynamics of these resource-constrained systems bring new challenges to their robust and reliable operation, which implies the need for integral resilience management strategies. This paper surveys the state of the art in the relevant fields, and discusses the research issues and future trends that are emerging. We envisage future applications that have very stringent requirements, notably high-precision latency and synchronization between a large set of flows, where FCSs are key to supporting them. Thus, we hope to provide new insights into the design and management of resilient FCSs that are formed by IoT devices, edge computer servers and wireless sensor networks; these systems can be modelled using Game Theory, and flexibly programmed with the latest software and virtualization platforms.

AB - Many future innovative computing services will use Fog Computing Systems (FCS), integrated with Internet of Things (IoT) resources. These new services, built on the convergence of several distinct technologies, need to fulfil time-sensitive functions, provide variable levels of integration with their environment, and incorporate data storage, computation, communications, sensing, and control. There are, however, significant problems to be solved before such systems can be considered fit for purpose. The high heterogeneity, complexity, and dynamics of these resource-constrained systems bring new challenges to their robust and reliable operation, which implies the need for integral resilience management strategies. This paper surveys the state of the art in the relevant fields, and discusses the research issues and future trends that are emerging. We envisage future applications that have very stringent requirements, notably high-precision latency and synchronization between a large set of flows, where FCSs are key to supporting them. Thus, we hope to provide new insights into the design and management of resilient FCSs that are formed by IoT devices, edge computer servers and wireless sensor networks; these systems can be modelled using Game Theory, and flexibly programmed with the latest software and virtualization platforms.

KW - Fog computing

KW - Internet of things

KW - IoT

KW - Edge computing

KW - Cyber-physical systems

KW - CPS

KW - Software defined networks

KW - SDN

KW - Challenges

KW - Game theory

KW - Network function virtualization

KW - NFV

KW - Cyber-attacks

KW - Resilient systems

KW - Self-awareness

KW - Network slicing

U2 - 10.1016/j.jnca.2020.102784

DO - 10.1016/j.jnca.2020.102784

M3 - Journal article

VL - 169

JO - Journal of Network and Computer Applications

JF - Journal of Network and Computer Applications

SN - 1084-8045

M1 - 102784

ER -