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The Interoperability Challenge.

The 3rd SD-WAN Summit will be held 26/28 September 2018 in Paris CDG.

The Summit will confirm its position as the leading event for stakeholders in this new technology.

It will be interesting to see next September how much SD-WAN is reshaping the overall telecom industry and wether or not it is impacting the globalization of business services and service providers’ footprints.
Indeed, before reaching this level, the SD-WAN offer must acquire a wider scope of features in terms of security and scalability. Above all, the different offers have to become interoperable in order to definitively win over operators and very large enterprises.

Understanding the Software Defined Wave.

The 20th Edition of the MPLS + SDN + NFV World Congress, to be held 10/13 April 2018 in Paris, will once again gather major actors of service providers and enterprises networks evolution.

A strong presence of service providers (45% of the +1500 participants ) as well as a growing internationalization (65 countries represented) will confirm the Paris World Congress as the first worldwide event in the MPLS SDN & NFV area.

ONAP/CORD Reports, uCPE/SD-WAN, EVPN, VNF, Automation

The software defined wave continues to roll forward as most network services may now be virtualized and deployed as light weight containers on low cost white box hardware.

The 2018 agenda will illustrate once again the challenges and consequences of this evolution.

Exploring new frontiers

Today’s networks have scaled to a size and complexity that is beyond human ability to manage, maintain availability, and achieve optimality. Artificial Intelligence and Machine Learning are seen as the only way out to continue growing.

Indeed, SDN and NFV are bringing about programmability by decoupling control plane from the network devices and running softwarized network function on commodity hardware. The SDN-NFV controller is expected to play a key role for service provider network management by programming their customized network management policy. This controller requires computational intelligence.
During the past several years there have been remarkable advancement in academic research for applying machine learning to network management. Machine learning is applied to diversified data including traffic flow, performance, quality, syslog, configuration file, trouble tickets, SNS. In fact, AI can be practically used in many networking areas, such as fault isolation, intrusion detection, event correlation, log analysis, capacity planning, and design optimization, just to name a few.