Serverless Streaming for Emerging Media: Towards 5G Network-Driven Cost Optimization

TL;DR

This paper introduces a serverless, network-centric adaptive streaming framework for immersive 3D media, optimizing quality and costs in 5G networks by centralizing transcoding decisions based on consumer metrics.

Contribution

It proposes a novel serverless, network-centric adaptive streaming approach for 3D immersive media, diverging from traditional client-based methods and considering cost-quality trade-offs.

Findings

Centralized transcoding improves quality and cost efficiency.

Naive serverless application may be suboptimal for immersive 3D media.

Framework adapts to consumer behavior and network conditions.

Abstract

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.