Content-Centric Network Caching Strategy based on Node Situational Degree
- Jianwei Zhang, Chunfeng Du, Zengyu Cai, Wenqian Wang, and Zuodong Wu
In order to meet the requirement of efficient network utilization and cache data availability of content-centric networks, a content-centric network caching strategy based on the node situational degree is proposed. It considers user preferences, content popularity, and node caching. Specifically, the active nodes in CCN network statistics involve user requests, hit rates, time intervals, and cache statuses of nodes according to the period. Through these data, the user preferences around the active node, the content popularity of each type of content in the node, and the cache degree of the node are calculated. Finally, the situational degree of the node is obtained. In the process of user request data and content packet information interaction with active nodes or content source servers, the situational threshold of nodes is calculated. According to dynamic changes in the node situational degree value and the matching of byte value information contained in the interest package and data package, the best caching node can be judged and selected for content replica. The optimized configuration of cached content can be realized. Simulation results show that, compared with the traditional caching scheme, this caching strategy can effectively improve the average cache hit ratio and reduce the request delay.