Cloud-Based Internet Linear Video Delivery System Using Edge Computing on a CDN

Internet users are increasingly exposed to linear streaming services. In several linear delivery platforms that use Hypertext Transfer Protocol (HTTP) adaptive streaming (HAS), programs are scheduled in a manipulated manifest file as a playlist. However, when an urgent program is dynamically inserted, like television broadcasting, ensuring reliable and rapid program switching is difficult, especially in low-latency delivery, because all the players' manifest files must be quickly updated. Thus, we propose a cloud-based HAS linear delivery system that facilitates prompt schedule changes by utilizing edge computing within the content delivery network (CDN). We propose an end-to-end system that focuses on the efficient use of cloud resources for encoding and program switching at pre-scheduled times by leveraging the CDN's edge capabilities and simple low-latency playback. Moreover, the prompt program schedule changes are addressed, particularly in scenarios involving dynamic program insertions and the replacement of certain programs based on viewers' attributes on CDN edge.