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

Internet users are increasingly exposed to linear streaming services. Unlike television (TV) broadcasting, there is no limit to the number of channels that can be delivered via linear streaming services. Considering regions and various viewer preferences, several linear delivery platforms on cloud are being developed to efficiently provide various channels. In such platforms that use HTTP adaptive streaming (HAS), programs are scheduled in a manipulated manifest file. However, when an urgent program is dynamically inserted, the aforementioned approach requires complex implementations on the server and player sides to ensure reliable and rapid program switching, 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 utilizes edge computing within the content delivery network (CDN) to facilitate prompt schedule changes. By shifting away from manifest manipulation or baseband switching used in TV broadcasting systems, the proposed approach offers quick adaptations to urgent schedule changes and efficient delivery of addressable linear streaming channels. This study presents an end-to-end system that focuses on the efficient use of cloud resources for encoding, program switching at pre-scheduled times by leveraging the CDN's edge capabilities, and simple low-latency playback. Moreover, the prompt realization of program schedule changes, particularly in scenarios involving dynamic urgent program insertions, and the replacement of certain programs based on viewers’ attributes on CDN edge, are addressed. By utilizing CDN edge computing, the cloud-based system offers dependable program switching to efficiently deliver localized or personalized channels.

Published

2023-10

Content type

Original Research

Keywords

Linear streaming, HTTP adaptive streaming (HAS), dynamic adaptive streaming over HTTP (DASH), common media application format (CMAF), content delivery network (CDN), CDN edge computing

DOI

10.5594/M002003

ISBN

978-1-61482-964-5