Akamai Technologies and Juniper Networks are demonstrating an elastic Content Delivery Network (CDN) system designed to enable network operators to address network scalability challenges driven by the rapid increase in video traffic.
The proof-of-concept demonstration will leverage Akamai’s virtualised Aura Licensed CDN (LCDN) software and Juniper Networks Contrail Controller for software-defined networking (SDN) and network function virtualisation (NFV) to dynamically scale up and down network resources to support content spikes resulting from the broadcast of large events.
The technology is also designed to accelerate service creation for service providers utilizing CDNs to launch innovative multi-screen video services that help drive subscriber acquisition and loyalty.
Video consumption has shifted dramatically from a relatively predictive and controlled model to one that is highly dynamic, driven by large traffic spikes during online live and on-demand events.
Streaming large live events and popular on-demand titles can cause significant network congestion that leads to a poor subscriber experience, brand erosion and customer turnover. To meet customer demand for multi-screen video services, network operators are increasingly migrating their delivery architecture to CDN-assisted IP video to scale delivery and stay current with the latest technologies. Additionally, many operators are now looking at virtualization of the CDN network function as a key component in scaling delivery.
To address the scalability challenge, Akamai is collaborating with Juniper Networks to demonstrate the industry’s first on-network elastic CDN. Unlike in past, the elastic CDN solution running on virtualisation platforms leverages Juniper Networks Contrail to quickly configure virtual network resources within a virtual CDN, and allows additional caching capacity to be deployed in minutes instead of weeks.
The elastic CDN is highly distributed and virtually networked to enable efficient use of resources. Operating in an OpenStack environment, the combined solution is designed to help reduce time and cost associated with adding new caching capacity to the network, decreasing both capital and operational expense.
The technology demonstration will feature key attributes designed to address the limitations of statically provisioned video architectures, specifically scalable caching within the operator network, distributed resource pool and automated networking.
