Joint Optimization of Content Replication and Server Selection for Video-on-Demand
The authors study providing large-scale Video-on-Demand (VoD) service to distributed users. In order to achieve scalability in user capacity and reduce the load of the core network, local servers with heterogeneous storage are deployed. Each server replicates the movie segments depending on their access probabilities. Considering the realistic scenario that underlay delay is a function of the total traffic in the link (including cross-traffic), they address two important problems to achieve low user interactive delay: Which segments should each server replicate under the constraints of their capacities to achieve network-wide good locality effect? This is the so-called Content Replication (CR) problem; and Given a number of remote servers with the requested segment, which one should serve the user? This is the so-called Server selection (SS) problem.