An autonomous system collaboration caching strategy based on content popularity in CCN

Abstract

The Content-Centric Network (CCN) is a very important structure in the future network, in which every node has caching ability. Caching strategy has a decisive influence on the performance of the CCN. In this paper, an Autonomous System Collaboration Caching Strategy (ASCCS) is proposed to achieve the explicit collaboration, reduce the cache redundancy, improve the cache utilization rate and increase the cache hit rate. Firstly, the network is divided into several Autonomous Systems (AS) before carrying out the centralized control. Then we select the control nodes according to the betweenness and the cache replacement rate of the nodes. Each AS is centralized controlled by the control node. At the same time, the selected control node computes the popularity statistics of different contents to determine the suitable cache policy for them. Under this strategy, nodes in the same AS cooperate with each other, which improves the transparency of the network cache, and thereby achieve the cache performance gain of the CCN. It makes the optimal performance of the cache become possible.