以信息为中心的网络（ICN）是未来互联网研究的热点，网络化缓存是ICN的重要特征。当前对ICN网络化缓存技术的研究还处于起步阶段，一些基本问题并没有得到解决：1)ICN网络化缓存的性能到底如何评判，相关工作一直缺乏大规模真实数据的支撑;2) ICN网络化缓存机制设计相对简单，只注重功能的实现，缺乏对性能方面的考虑。本项目旨在针对上述不足，从性能评价和算法优化两个层面来开展工作，包括基于网络真实拓扑和用户数据的大规模ICN仿真平台搭建、网络化缓存性能评估模型与ICN/CDN性能对比实验、基于全局视图的ICN网络化缓存方案设计等内容。本项目性能评测方面的工作将有助于理解ICN网络化缓存的优势，为ICN体系架构设计奠定必要的理论基础，而算法优化方面的工作将有助于保障用户的信息获取速度和低服务延迟，降低服务（内容）提供商独自部署缓存的成本，并显著提升信息在网络中的传输效率，减少网络跨域流量。

Information Centric Networking (ICN) is becoming a hot issue in future Internet research work. While in-network (en-route) caching is the most important characteristic of ICN, the research on it is just at a very early stage. There are still a lot of important challenges that need to be addressed: 1) The performance evaluation of in-network caching schemes in ICN is lack of support by large scale and realistic data sets from industry. 2) Existing ICN in-network caching schemes focus on functionality without taking performance into consideration. This project will conduct research work to address the above challenges from two aspects: performance evaluation and scheme optimization. It includes the development of a simulation platform based on real network topology and user data, the performance evaluation model of ICN in-network caching, the comparison of ICN and CDN performance, and the scheme optimization from a global network view etc. This work will enable us to understand the advantages of ICN in-network caching and will lay a solid theoretical basis for the design of ICN architectures. Moreover, we will develop new schemes by optimizing caching and matching mechanisms that will guarantee low access latency and high downloading speed for users, reduce the cost of deployment for content providers, and significantly improve the transmission efficiency of the information in the network by limiting the inter-domain traffic.