Optimization of Content Caching in Content-Centric Networks

Video on demand (VoD) systems currently use content de-livery networks (CDN) to feed content to users, whose per-formance and effectiveness depends on the architecture, the number and the geographical location of CDN nodes de-ployed by CDN providers or ISP(s) itself. Content-Centric Networking (CCN), with the benefits of caching and shar-ing content by every node in the network, suggests an alter-native: a collaborative caching system exploiting the maxi-mum capacity of infrastructure for the high performance of video delivery services. However, a CCN-based architecture to support efficient VoD delivery raises important questions about the optimal routing and caching strategies with con-straints on the architecture and capacities of the system. We investigate models and algorithms for addressing these op-timization problems. We study different solutions for the routing and caching optimization problems and compare the solutions produced with the optimal solution under various assumptions. Our numerical results show the influence of throwing caching at the problem in different locations, on the system performance and its related cost