Joint Optimization of Storage and Transmission via Coding Traffic Flows for Content Distribution

We provide a flow-based coded caching framework for information centric networks. We jointly optimize delivery rates, cross coding, and cache contents allocation as a function of demand and the network's topology. Our model accounts for stor-age and transmission costs, demand asymmetry, and arbitrary multi-hop topologies, and relies on an ordered flow-based de-coding schedule for the transmissions created by pairwise coded flows. Through extensive experiments over multiple topologies, we observe that our coded caching scheme reduces transmission costs over competitors by several orders of magnitude.