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Towards a Resilient Control Architecture for Combined Fog-to-Cloud Systems

Authors: Masip Bruin, Xavier; Sánchez López, Sergio; Jurnet Bolarin, Alejandro; Marín Tordera, Eva; Jukan, Admela; Ren, Guang-Jie;

Towards a Resilient Control Architecture for Combined Fog-to-Cloud Systems

Abstract

© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The capacity to efficiently manage the whole set of resources from the edge up to the cloud paves the way to a new landscape of innovative opportunities for all involved actors, be it on the research or industrial sides. Fog-to-Cloud (F2C) has been recently proposed as a management solution particularly tailored to manage the stack of resources from the edge up to the cloud in a coordinated way. However, beyond the benefits brought by considering all the spectrum of resources to run a service, resilience, as a concept must be reflected in the F2C design. In this paper, we address a particular scenario where a specific node failure in the F2C architecture will substantially impact on the whole system performance, and analyse three tentative strategies to efficiently manage such scenario. This work was partially supported by the H2020 mF2C project 730929 and for the UPC authors also by the Spanish Ministry of Economy and Competitiveness and by the European Regional Development Fund, under contract RTI2018-094532-B-I00. Peer Reviewed

Country
Spain
Keywords

Fog-to-cloud systems, Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors, Resilience, Computació en núvol, Cloud computing, Fog computing, :Informàtica::Arquitectura de computadors [Àrees temàtiques de la UPC]

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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