The Content Analysis And Service Migration Based On CCN

With the continuous development of the Internet, the existing IP network shows more and more shortcomings. In order to provide a more secure, flexible and scalable network, Content-Centric Networking (CCN) came out as a revolutionary solution. CCN aims to provide efficient and effective delivery of content wherever and whenever it is needed, through in-network caching and interest packets aggregation. It is different from the IP networking that we are using now.However, in the process of using the CCN, we found that CCN’s efficiency is limited when it processing services of large files. For instance, when we want to catch big files, by using the services provided by CS, CCN’s efficiency is limited. Through the investigation of the existing Internet cache technology, CDN (Content Delivery Network) provides services by combining the services of cache and content mirror. In CCN, repository is similar to the CDN content mirror. Therefore, we design and implement the content analysis and service migration system combining the services of CS and repository. The system collects users’access log in CCN network, then transmitted the data to HDFS which is in the data center through Scribe. The system analyzes and processes the logs by Hadoop MapReduce programming framework to get hot resource information in network and each core node. Combining with hot resource information, network topology and size of CCN nodes’repository storage, greedy algorithm is used to calculate which node should the new content to be migrated, and then push the content to the node actively. After the node cache the data, the system successfully completes a service migration.By using the system, we improved the CCN network utilization, reduce response time delay effectively. At last, we concluded the work in this system, and proposed several issues open for study.