Sponsored By: Sedona Systems
Service providers, software vendors, and standards bodies alike recognize the need to evolve to automated service-aware networks in order to efficiently support the traffic scale, agility, and performance required for new applications such as AR/VR and autonomous driving, new capabilities for Enterprise Customers (e.g., Bandwidth on Demand/Calendaring), and the IP/Optical transport and 5G networks that underpin them.
In a service-aware network, a service orchestrator communicates via a standards-based intent API with a Hierarchical Network Controller to set up services in the network. The Network Controller is able to understand and fulfill service level requirements and drive to service-centric network behavior – a fundamental departure from today’s networks which are, at best, aware of aggregate traffic requirements.
The path to achieving this vision is not without obstacles, however. The Network Controller in a large service provider network must be able to discover, optimize, and automate networks consisting of many layers, domains, and vendors. Complicating this further is that service providers cannot upgrade their complete networks overnight in support of automation – both economic and practical deployment constraints make this impossible.
In this NetFusion demo, a Hierarchical Network Controller developed by Sedona to support accelerated evolution to intelligent, automated service-aware networks. We show a proven phased deployment plan that allows service providers to start today and see immediate ROI and revenue growth with IP/Optical network intelligence, and to progressively evolve to traffic-aware automation and service-aware automation as they upgrade their network equipment and deploy SDN controllers.
- Gal Afriat, VP of Product & System Engineering, Sedona Systems
- Daniel Tardent, VP of Marketing, Sedona Systems
- Tim Doiron, Principal Analyst, Intelligent Networking, ACG Research
In the NetFusion demo, you’ll see:
- Automatic discovery and visualization of a multivendor, multi-domain IP/optical network and all its cross-connections and interdependencies, including topology, traffic, and services.
- Application of data analytics to identify congestion points, network anomalies, shared risks, and network inefficiencies.
- Traffic-aware network automation – Multilayer network provisioning.