Serverless Streaming for Emerging Media: Towards 5G Network-Driven Cost Optimization
This work addresses cost optimization for streaming emerging immersive 3D media, which is relevant for tele-presence, teleconference, entertainment, and gaming applications.
This paper explores live 3D immersive media streaming in a serverless setting, proposing a network-centric adaptive streaming framework. The framework centralizes transcoding profile decisions based on consumer metrics and provisioning costs to infer quality of experience and behavior.
Immersive 3D media is an emerging type of media that captures, encodes and reconstructs the 3D appearance of people and objects, with applications in tele-presence, teleconference, entertainment, gaming and other fields. In this paper, we discuss a novel concept of live 3D immersive media streaming in a serverless setting. In particular, we present a novel network-centric adaptive streaming framework which deviates from a traditional client-based adaptive streaming used in 2D video. In our framework, the decisions for the production of the transcoding profiles are taken in a centralized manner, by considering consumer metrics vs provisioning costs and inferring an expected consumer quality of experience and behaviour based on them. In addition, we demonstrate that a naive application of the serverless paradigm might be sub optimal under some common immersive 3D media scenarios.