Content popularity and user profiling for content placement
in peer-to-peer VoD systems
Based on joint work with Peter Marbach and Dan-Cristian Tomozei
In this talk we consider the problem of pre-loading video content at
users of a peer-to-peer system, so as to meet content demands with
minimal access to infrastructure servers. We propose to leverage
content popularity distribution as well as user profiling to obtain
maximal benefits.
We
will discuss optimisation formulations, and resulting replication
strategies that exploit expected demand and its volatility. We will
also discuss ongoing work on user profiling, in which we advocate the
use of particular spectral clustering techniques to identify profiles
of users. Corresponding theoretical guarantees as well as empirical
validation on the NetFlix dataset will be presented.