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EdgeDASH: Exploiting Network-Assisted Adaptive Video Streaming for Edge Caching by Bayhan, Suzan; Maghsudi, Setareh; Zubow, Anatolij is a scholarly article available to read on EtoBox.

What is EdgeDASH: Exploiting Network-Assisted Adaptive Video Streaming for Edge Caching about?

While edge video caching has great potential to decrease the core network traffic as well as the users' experienced latency, it is often challenging to exploit the caches in current client-driven video streaming solutions due to two key reasons. First, even those clients interested in the same content might request different quality levels as a video content is encoded into multiple qualities to match a wide range of network conditions and device capabilities. Second, the clients, who select the quality of the next chunk to request, are unaware of the cached content at the network edge. Hence, it becomes imperative to develop network-side solutions to exploit caching. This can also mitigate some performance issues, in particular for the scenarios in which multiple video clients compete for some bottleneck capacity. In this paper, we propose a network-side control logic running at a WiFi AP to facilitate the use of cached video content. In particular, an AP can assign a client station a different video quality than its request, in case the alternative quality provides a better utility. We formulate the quality assignment problem as an optimization problem and develop several heurist

Author

Bayhan, Suzan; Maghsudi, Setareh; Zubow, Anatolij

Published

2020

Language

EN