MediaEngine™ for Cloud Media Processing

Gain deployment flexibility with Network Function Virtualization for the public and private cloud

The attractions of public cloud services are well known: no up-front infrastructure costs, pay-as-you-go for storage and processing, and use what is needed on the fly, to address peaks and troughs of demand. Indeed, there are tier-one companies that have decided that they can let someone else deal with infrastructure while they concentrate on services. 

Then there are the service providers that are already in the infrastructure business. They have extensive networks and huge data centers; they have experienced operations staff that manage these around the clock; and they regard these as assets that they can leverage. These companies see Network Functions Virtualization as a way of adding new services on top of a uniform infrastructure at a low incremental cost. And they see the trade-off between specialized dedicated hardware and general purpose computing platforms as being worthwhile.

Inherent in both public and private cloud services is the ability to quickly provision new network elements; to monitor demand and scale-out and back-in again automatically; and to self-heal by detecting failed instances and restarting them. 

We’ve embraced this industry transition, designing our virtualized MRF (vMRF) for deployment in elastic cloud environments. It is compatible with leading hypervisors such as VMware™ and KVM and its support for OpenStack enables deployment in private or public clouds, including Amazon™ EC2. When deployed in a virtualized environment, our vMRFelivers 95 percent of the performance and capacity of a bare metal deployment. 


  • No capital investment with public cloud; low incremental expenditure with private cloud
  • Quick turn-up and provisioning of services
  • Automated scale-in, scale-out and self-healing
  • Available for leading public clouds such as Amazon Web Services
  • Supports OpenStack for deployment in private cloud environments
  • Compute nodes run on industry-leading virtualization platforms such as VMware ESXi, KVM and Xen

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