Predictive caching content distribution network

Abstract

In various exemplary embodiments, a method for the distribution of content within a network of constrained capacity uses distributed content storage nodes functioning to achieve optimal service quality and maximum service session capacity. The method, which functions in unicast, broadcast, switched broadcast, and multicast mode networks, uses predictions of the utility of particular content items to download or record the highest utility items to distributed content stores during periods and in modes that will not increase demand peaks. These predictions of utility may be based on, for example, the number of potential users, the likelihood of their use, and the value to the service provider. The method uses signaling between network nodes to identify the best source for particular content items based on which nodes hold that content and the nature of network constraints.