Title
Optimal Delivery of Rate-Adaptive Streams in Underprovisioned Networks
Abstract
The growth of Internet video traffic imposes a severe capacity problem in today's Content Delivery Network (CDN). Rate-adaptive streaming technologies, such as the Dynamic Adaptive Streaming over HTTP (DASH) standard, reinforces this problem in the core CDN infrastructure since delivering one video means delivering multiple representations for an aggregated bit-rate that is commonly over 10 Mbps. In this paper, we explore better trade-offs between CDN infrastructure cost and Quality of Experience (QoE) of the end-users for live broadcast video streaming applications. We consider in particular underprovisioned CDN networks, our goal being to maximize the QoE for the population of heterogeneous end-users despite the lack of resources in the intermediate CDN equipments. We show that previous theoretical models based on elastic bit-rates do not fit for this context. We propose a user-centric discretized streaming model where the satisfaction of end-users is related to the context and where a stream has to be either delivered in its entirety, or not delivered at all. We first formulate an Integer Linear Program (ILP) that achieves the optimal delivery through a multi-tree delivery overlay. The evaluation of the ILP shows the benefits of this model. We then design a practical system by revisiting the three main algorithms implemented in CDN: user-to-server assignment, content placement and content delivery. At last, we use a realistic trace-driven large-scale simulator to study the performances of our system. In particular, we show that the population of users is reasonably well served (three quarters of the population do not experience degradation) even when the CDN infrastructure experiences a severe underprovisioning (less than half of the required infrastructure).
Year
DOI
Venue
2014
10.1109/JSAC.2014.140404
IEEE Journal on Selected Areas in Communications
Keywords
Field
DocType
dynamic adaptive streaming,signal representation,integer linear program,user satisfaction,user-centric discretized streaming,http,rate-adaptive streams,cdn infrastructure,heterogeneous end-users,underprovisioning,qoe,internet video traffic,linear programming,radio networks,optimization problem,user-to-server assignment,multitree delivery overlay,internet,multiple representations,severe capacity problem,underprovisioned networks,quality of experience,content placement,rate-adaptive streaming,video streaming,telecommunication traffic,content delivery network,elastic bit-rates,ilp,optimal delivery,sociology,servers,statistics,computational modeling
Content delivery network,Population,Broadcasting,Internet video,Computer science,Computer network,Real-time computing,Dynamic Adaptive Streaming over HTTP,Quality of experience,Linear programming,The Internet
Journal
Volume
Issue
ISSN
32
4
0733-8716
Citations 
PageRank 
References 
8
0.49
26
Authors
4
Name
Order
Citations
PageRank
Jiayi Liu1111.90
Catherine Rosenberg21877137.46
Gwendal Simon367452.28
Géraldine Texier4486.84