Effect of caching threshold in content centric network: A simulation-based study

Threshold-based caching has been widely researched in the literature of content-centric network. Most of the existing approaches only consider the user experience performance, i.e. the average request delay, in the cache networks. In this paper, we propose to consider the system cost metric of cache utilization ratio, and develop a kind of threshold-based caching algorithm that aims to reduce the total missed traffic in network as well as the user performance. Our proposed threshold reflects the effect of local disk size and favors the long-term content popularity. Simulation-based studies show that, there exists an optimal point in the performance space of cache utilization ratio. What's more, given relative small size cache disk resource, the optimal threshold setting can outperform the default CCN caching policy greatly in either user experienced request delay and cache utilization ratio.