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Probabilistic QoS-aware Placement of VNF Chains at the Edge

Published online by Cambridge University Press:  15 February 2021

STEFANO FORTI Open the ORCID record for STEFANO FORTI [Opens in a new window] ,
FEDERICA PAGANELLI  and
ANTONIO BROGI
STEFANO FORTI
Affiliation:
Department of Computer Science, University of Pisa, Pisa, Italy (e-mails: [email protected], [email protected], [email protected])
FEDERICA PAGANELLI
Affiliation:
Department of Computer Science, University of Pisa, Pisa, Italy (e-mails: [email protected], [email protected], [email protected])
ANTONIO BROGI
Affiliation:
Department of Computer Science, University of Pisa, Pisa, Italy (e-mails: [email protected], [email protected], [email protected])
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Abstract

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Deploying Internet of Things (IoT)-enabled virtual network function (VNF) chains to Cloud-Edge infrastructures requires determining a placement for each VNF that satisfies all set deployment requirements as well as a software-defined routing of traffic flows between consecutive functions that meets all set communication requirements. In this article, we present a declarative solution, EdgeUsher, to the problem of how to best place VNF chains to Cloud-Edge infrastructures. EdgeUsher can determine all eligible placements for a set of VNF chains to a Cloud-Edge infrastructure so to satisfy all of their hardware, IoT, security, bandwidth, and latency requirements. It exploits probability distributions to model the dynamic variations in the available Cloud-Edge infrastructure and to assess output eligible placements against those variations.

Keywords

Edge computingIoTVNF chain placementNFVSDNprobabilistic logic programming
Type
Original Article
Information
Theory and Practice of Logic Programming , Volume 22 , Issue 1 , January 2022 , pp. 1 - 36
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of Theory and Practice of Logic Programming

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