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MEC-Assisted End-to-End 5G-Slicing for IoT

 
: Sanchez-Iborra, R.; Covaci, S.; Santa, J.; Sanchez-Gomez, J.; Gallego-Madrid, J.; Skarmeta, A.F.

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Institute of Electrical and Electronics Engineers -IEEE-:
IEEE Global Communications Conference, GLOBECOM 2019. Proceedings : 9th - 13th December 2019, Waikoloa, HI, USA
Piscataway, NJ: IEEE, 2019
ISBN: 978-1-7281-0962-6
ISBN: 978-1-7281-0963-3
6 S.
Global Communications Conference (GLOBECOM) <2019, Waikoloa/Hawaii>
Englisch
Konferenzbeitrag
Fraunhofer FOKUS ()

Abstract
The Internet of Things (IoT) has emerged as a key horizontal technology enabler within the 5G ecosystem, characterized by supporting the heterogeneity of end-devices, radio-access technologies, and services. Network slicing techniques allow to configure dedicated networks with assured resources to specific users or applications over a common physical infrastructure. This paper describes a novel end- to-end network slicing framework for IoT services in 5G systems, based on a Multi-Access Edge Computing (MEC) and central cloud architecture that permits the flexible and dynamic placement of micro-services encapsulated as Virtualized Network Functions (VNFs) along the end-to-end path. The critical analysis of the validation results highlights the performance and flexibility gains of our proposal. It allows deploying end-to-end slices over a number of participating domains in a very short time, it is able to isolate slices with guaranteed Quality of Service (QoS) parameters, and shows great scalability in terms of number of connected end-devices and application services.

: http://publica.fraunhofer.de/dokumente/N-589740.html