Qwilt presented the QB-Series, a next-generation of video content transmission products.
On some networks, as much as 50 percent of Internet traffic comes exclusively from video content. According to a white paper, published by Aditya Kishore on Qwilt, Netflix alone can represent as much as 30 percent of traffic on an ISP. In 2011, video content became a $2 billion industry. Surely, this number as since increased.
One of the fruits of $24 million in research funding the company received in late 2011, Qwilt's new QB Series video-infrastructure product will offer a solution for carriers interested in finding an affordable method of getting more control over the online video on their networks. Additionally, the product optimizes the speed and reliability with which the video is transmitted.
The new product grants users a previously unprecedented level of control and precision required in order to consolidate content, transmitted on a variety of networks, either mobile or fixed, onto one platform. Additionally, it can do all of this much more quickly than the various combinations, or suites of products usually combined to accomplish the same goal.
Through the use of advanced video analysis and classification techniques, Qwilt's product first identifies and separates video content from a larger stream of traffic. After it finds the video, it stores this specific content and can deliver it to users up to 5x as quickly as they would otherwise receive it.
Beyond increasing the level of control a user can exercise over their video traffic, and making it faster, Qwilt's QB-Series machines also simplify the process of monetizing video content on the network. The product includes a networking feature that allows the owners of content, carriers and providers, to reach revenue sharing agreements.
Qwilt can integrate seamlessly into an existing server setup with the bare minimum of modification to infrastructure. Other, similar solutions for augmenting a network’s delivery capacity involve complex re-wirings. The QB-Series machines allow an entirely off-line model for deployment; all you need to do is connect it in your network. The machine itself can take things from there.
Edited by Jennifer Russell