Characterising and Exploiting Workloads of Highly Interactive Video-on-Demand

[en] This paper presents a detailed character- isation of user behaviour for a series of interactive video experiments over a 12 month period, in which we served popular sporting and musical content. In ad- dition to generic VCR-like features, our custom-built Video-on-Demand application provides advanced inter- activity features such as bookmarking. The dramatic impact of such functionality on how users consume con- tent is studied and analysed. We discuss in detail how this user behaviour can be exploited by content dis- tributors to improve user experience. Speci cally, we study how simple dynamic bookmark placement and interactivity-aware content pre-fetching and replication can reduce the impact of highly interactive media on CDN performance.

Disciplines :

Computer science

Author, co-author :

Brampton, Andrew; Lancaster University > Computing Department

MacQuire, Andrew; Lancaster University > Computing Department

Fry, Michael; University of Sydney

Rai, Idris; Lancaster University > Computing Department

Race, Nicholas; Lancaster University > Computing Department

Mathy, Laurent ; Lancaster University > Computing Department

Language :

English

Title :

Characterising and Exploiting Workloads of Highly Interactive Video-on-Demand

Publication date :

February 2009

Journal title :

Multimedia Systems

ISSN :

0942-4962

Publisher :

Springer Science & Business Media B.V.

Peer reviewed :

Peer Reviewed verified by ORBi

Available on ORBi :

since 28 June 2012

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