Qwilt Reveals Vision for Edge Cloud to Advance Future of Content and Application Delivery in Internet Service Provider Networks

REDWOOD CITY, CA--(Marketwired - Feb 7, 2017) - Research* by a broad group of institutions and companies including Oculus, Nokia Bell Labs and Valve has unanimously concluded that low network latency is essential for the performance of Augmented Reality (AR), Virtual Reality (VR), 360 Degree Video and compute intensive IoT applications like self-driving cars. These requirements are driving the need for evolution in cloud computing to deliver these applications at scale. In response, Qwilt today unveiled its vision for the Open Edge Cloud -- a new model of content and application delivery to both consumers and enterprise workers that addresses requirements for both low latency and massive scale.

"The edge cloud and edge computing will play a vital role in application and content delivery across both fixed and mobile networks around the world," said Monica Paolini, Principal Analyst at Senza Fili. "This distributed layer of shared compute infrastructure in last mile networks, at home and at work, is the final element in the new architecture for application delivery."

Edge computing is a distributed information technology (IT) architecture in which client data is processed at the periphery of the network, as close to the originating source as possible. The edge cloud is a platform of applications leveraging standard compute and storage infrastructure that is massively distributed and deployed deep in the Internet Service Provider (ISP) networks, and in many cases, in the home, the enterprise or in a vehicle. It enables ISPs to address low latency application requirements for new applications and experiences.

The Case for the Service Provider Edge Cloud
Rigorous independent studies completed by Oculus, Nokia Bell Labs and Valve all confirm that extremely low latency is mandatory for the success of AR and VR. In one of the studies conducted by Nokia Bell Labs*, the maximum tolerable network delay for some applications is 10ms or less. These latency sensitive applications include VR Gaming, AR non-gaming and cloud-assisted self-driving cars. The study concludes that these applications can only achieve optimum performance in the service provider edge cloud. In comparison, screen-to-brain propagation has a latency of 80ms and the blink of a human eye takes 150ms.

The service provider edge cloud includes a suite of Open APIs that enable rapid content delivery resource allocation while leveraging the reach and scale in the service provider last-mile network. Five essential attributes of the service provider edge cloud include: