Latest revision as of 20:57, 1 February 2021

Abstract

We present and experimentally assess the first IoT-aware SDN and cloud architecture that deploys IoT flow monitoring and traffic-congestion avoidance techniques in order to dynamically and efficiently distribute the processing of IoT analytics from core datacentres to the network edge. Grant numbers : This research was partially funded by MINECO project DESTELLO (TEC2015-69256-R).

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• https://zenodo.org/record/832901 under the license https://creativecommons.org/licenses/by

• https://zenodo.org/record/832901/files/IoT-aware%20Multi-layer%20Transport%20SDN%20and%20Cloud.pdf under the license http://creativecommons.org/licenses/by/4.0/legalcode

• http://dx.doi.org/10.5281/zenodo.832900,

https://zenodo.org/record/832901 under the license cc-by

• http://dx.doi.org/10.5281/zenodo.832901,

https://zenodo.org/record/832901 under the license https://creativecommons.org/licenses/by/4.0/legalcode

• http://xplorestaging.ieee.org/ielx7/8345373/8345823/08346192.pdf?arnumber=8346192,

http://dx.doi.org/10.1109/ecoc.2017.8346192 under the license https://creativecommons.org/licenses/by/4.0/legalcode

• http://xplorestaging.ieee.org/ielx7/8345373/8345823/08346192.pdf?arnumber=8346192,

http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=8346192,

https://core.ac.uk/display/144830480,

https://academic.microsoft.com/#/detail/2798481486

DOIS: 10.5281/zenodo.832901 10.5281/zenodo.832900 10.1109/ecoc.2017.8346192