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SD-WAN Summit 2017: Achieving the transition.
26/28 SEPTEMBER 2017 / NOVOTEL CONVENTION & SPA PARIS ROISSY CDG

Achieving the transition.

The second SD-WAN Summit will take place from the 26th to 28th September 2017 in Paris CDG. 

The most eminent experts  will bring answers to the following questions: What is an SD-WAN service? When a provider can be called « SD-WAN » provider?

As a participant operator puts it: « You can’t replace a network with 43 VRF, 5 classes of QoS, etc. by an IPsec VPN tunnel over the Internet ». 
So when it comes to co-existence with MPLS, how do you manage a smooth transition to SD-WAN in different real situations?
How to implement a solution with 2 or more SD-WAN providers?

As stated by another telco : « Using SD-WAN and the Internet is one thing. Achieving performance is another. How do we maintain quality of service? »

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.

Towards Self Driven Networks

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.