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Virtualized Interconnect SBC


Interconnection peering points between service providers are most often characterized as having dynamic traffic demands. These dynamic traffic demands can be applied to mobile operators, fixed network operators, cable providers, and especially to hub/wholesale service providers. Traffic patterns are dynamic in nature because each service provider is trying to optimize the cost of their interconnection points, often making routing changes “on the fly” based on least cost routes, quality of service conditions, access traffic growth/shrinkage in geographic regions

With a fixed hardware-based solution, it is very difficult to optimize SBC capacity required at these interconnection points because you need account for the peak of this dynamic traffic demand. This typically leads to overprovisioning of capacity, increasing both capital expense and operational expense. It is possible to overcome this limitation using a virtualized interconnect SBC.

Deploying the Sonus SBC SWe in a cloud environment gives a service provider significant advantages because of the ease and speed by which virtual instantiations of an SBC can be deployed. This provides elasticity - the ability to have on-demand instantiation of a virtual SBC to match dynamic traffic demands. Elasticity gives service providers much greater flexibility in how they meet dynamic traffic demands. With Sonus SBC SWe, service providers can scale a single instance, or multiple instances, independently from very low to very high session counts. With Sonus’ NFV orchestration partners, this on-demand scaling will be automated and touchless.

In addition to elasticity, load balancing, high availability, and network-wide licensing are also key to successfully address dynamic traffic demands of virtual interconnect SBCs.

Two additional aspects – load balancing and high availability – are also key to successfully address dynamic traffic demands of virtual interconnect SBCs. Load balancing enables efficient scaling by allocating work load across a resource pool. In a cloud environment, with only virtual resources, this is essential for the scalable deployment of SBCs. As a result of a well-designed load balancing strategy, the SBC SWe virtual resources are optimized to fine tune the overall status of the application processing.

Real-time applications in a virtualized, cloud-based environment have the same high availability requirements for service, subscriber, and call resiliency as they do in traditional network environments. The SBC SWe has been designed with high availability so critical state information in the virtual SBC is backed up in another virtual node, ready to take over traffic in the event of failure. Any failover changes in the network will be transparent to all peers and no action is required to achieve this seamless transition.

Figure 1: Service Providers dynamically match SBC capacity to traffic demand at interconnection points with automated, on-demand instantiation and configuration of virtual SBC resources.

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