Content Placement for Video-On-Demand Services over Cellular Networks

Abstract

The issues of content placement and content replication for video-on-demand streaming over cellular networks are addressed in this study. Using many replications of a relatively small number of the most popular items a significant performance improvement can be achieved. Our method was verified using real video streaming data taken from traces of live content distribution networks. Simulation results show that replicating a relatively small number of video files can significantly reduce the incoming bandwidth from the Internet backbone, as well as the (time) latency for content delivery. The proposed scheme is particularly suitable for IP-based TV services, for which the content popularity can be very often predicted with relatively high accuracy. In addition, we propose a hybrid cache management scheme, in which the cache is partitioned into two components. The first component is for long-term items, and it is updated relatively rarely, while the second component is updated more frequently.

Department(s)

Computer Science

Research Center/Lab(s)

Intelligent Systems Center

Second Research Center/Lab

Center for High Performance Computing Research

Keywords and Phrases

IPTV; Mobile telecommunication systems; Video streaming; Wireless networks; Cellular networks; Content distribution networks; Content placement; Content popularities; Content replication; Internet backbone; On-demand streaming; Video on demand services; Video on demand

International Standard Serial Number (ISSN)

0929-6212; 1572-834X

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2018 Springer Verlag, All rights reserved.

Publication Date

01 Jan 2018

Link to Full Text

Share

 
COinS