University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Towards QoE-assured 4K Video-on-Demand Delivery through Mobile Edge Virtualization with Adaptive Prefetching

Ge, Chang, Wang, Ning, Foster, G and Wilson, M (2017) Towards QoE-assured 4K Video-on-Demand Delivery through Mobile Edge Virtualization with Adaptive Prefetching IEEE Transactions on Multimedia.

[img]
Preview
Text
FINAL_VERSION.pdf - Accepted version Manuscript

Download (1MB) | Preview

Abstract

Internet video streaming applications have been demanding more bandwidth and higher video quality, especially with the advent of Virtual Reality (VR) and Augmented Reality (AR) applications. While adaptive streaming protocols like MPEG-DASH (Dynamic Adaptive Streaming over HTTP) allows video quality to be flexibly adapted, e.g., degraded when mobile network condition deteriorates, this is not an option if the application itself requires guaranteed 4K quality at all time. On the other hand, conventional end-to-end TCP has been struggling in supporting 4K video delivery across long-distance Internet paths containing both fixed and mobile network segments with heterogeneous characteristics. In this paper, we present a novel and practically-feasible system architecture named MVP (Mobile edge Virtualization with adaptive Prefetching), which enables content providers to embed their content intelligence as a virtual network function (VNF) into the mobile network operator’s (MNO) infrastructure edge. Based on this architecture, we present a context-aware adaptive video prefetching scheme in order to achieve QoE-assured 4K video on demand (VoD) delivery across the global Internet. Through experiments based on a real LTE-A network infrastructure, we demonstrate that our proposed scheme is able to achieve QoE-assured 4K VoD streaming, especially when the video source is located remotely in the public Internet, in which case none of the state-of-the-art solutions is able to support such an objective at global Internet scale.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Ge, Changc.ge@surrey.ac.ukUNSPECIFIED
Wang, NingN.Wang@surrey.ac.ukUNSPECIFIED
Foster, GUNSPECIFIEDUNSPECIFIED
Wilson, MUNSPECIFIEDUNSPECIFIED
Date : 2 August 2017
Identification Number : 10.1109/TMM.2017.2735301
Copyright Disclaimer : © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords : —MPEG-DASH, mobile edge computing, network function virtualization, prefetching, quality of experience, video on demand
Depositing User : Melanie Hughes
Date Deposited : 03 Aug 2017 11:13
Last Modified : 15 Aug 2017 08:26
URI: http://epubs.surrey.ac.uk/id/eprint/841834

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800