This paper will demonstrate an orchestration system for 5G infrastructure supporting latency-minimized and self-adaptive service chaining over geographically distributed edge clouds interconnected through SDN. The demo will show an orchestration system that comprises dynamic virtual function selection and intent-based traffic steering control functionalities to provide optimized service chains in terms of end-to-end latency and adjustable with respect to the context (e.g., service dynamics, network status).

Demonstration of Latency-Aware and Self-Adaptive Service Chaining in 5G/SDN/NFV infrastructures / Gharbaoui M.; Contoli C.; Davoli G.; Cuffaro G.; Martini B.; Paganelli F.; Cerroni W.; Cappanera P.; Castoldi P.. - STAMPA. - (2018), pp. 1-2. (Intervento presentato al convegno 2018 IEEE Conference on Network Function Virtualization and Software Defined Networks, NFV-SDN 2018 tenutosi a ita nel 2018) [10.1109/NFV-SDN.2018.8725645].

Demonstration of Latency-Aware and Self-Adaptive Service Chaining in 5G/SDN/NFV infrastructures

DAVOLI, GRAZIANO;CUFFARO, GIOVANNI;Martini B.;Cappanera P.;Castoldi P.
2018

Abstract

This paper will demonstrate an orchestration system for 5G infrastructure supporting latency-minimized and self-adaptive service chaining over geographically distributed edge clouds interconnected through SDN. The demo will show an orchestration system that comprises dynamic virtual function selection and intent-based traffic steering control functionalities to provide optimized service chains in terms of end-to-end latency and adjustable with respect to the context (e.g., service dynamics, network status).
2018
2018 IEEE Conference on Network Function Virtualization and Software Defined Networks, NFV-SDN 2018
2018 IEEE Conference on Network Function Virtualization and Software Defined Networks, NFV-SDN 2018
ita
2018
Gharbaoui M.; Contoli C.; Davoli G.; Cuffaro G.; Martini B.; Paganelli F.; Cerroni W.; Cappanera P.; Castoldi P.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1175167
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