Edge Encoding in the Video Cloud
NETINT’s original whitepaper, Encoding at Scale for Live Video Streaming, explained the growing demand for video transcoding and encoding ladder generation for OTT video streaming to multi-screen viewers. In this paper, we will take a closer look at where in the video streaming path, between the content contributor to the video viewers, would be the optimum location to apply transcoding or prepare encoding ladders.
Edge computing pushes applications, data and computing power (services) away from centralized points to locations closer to the user. Video is also the dominant content type traversing the Internet and will continue to grow. Historically, video encoding was most often processed inside centralized data centers to consolidate operations and to achieve economies of scale. However, the costs associated with video encoding distribution, along with the low latency encoding requirements for emerging interactive video applications, is motivating video distribution network architects to reconsider their edge encoding options.
This whitepaper will explore key motivations and macro trends that are driving the video communications industry towards edge encoding architectures. The whitepaper will conclude with some characteristics, requirements, and solutions for deploying edge encoding for the video cloud.
