A recursive estimation of network state for improving probabilistic caching

Abstract

There is a trend to introduce content caches as an inherent capacity of network device, such as routers, for improving the efficiency of content distribution and reducing network traffic. In this paper, we discuss the network state estimation in probabilistic caching based on a study with Bayesian inference, and propose a recursive estimation method for potentially improving the performance of adaptation to time-varying network state.