Content-Centric Networking (CCN) research addresses the mismatch between the
modern usage of the Internet and its outdated architecture. Importantly, CCN
routers may locally cache frequently requested content in order to speed up
delivery to end users. Thus, the issue of caching strategies arises, i.e.,
which content shall be stored and when it should be replaced. In this work, we
employ novel techniques towards intelligent administration of CCN routers that
autonomously switch between existing strategies in response to changing content
request patterns. In particular, we present a router architecture for CCN
networks that is controlled by rule-based stream reasoning, following the
recent formal framework LARS which extends Answer Set Programming for streams.
The obtained possibility for flexible router configuration at runtime allows
for faster experimentation and may thus help to advance the further development
of CCN. Moreover, the empirical evaluation of our feasibility study shows that
the resulting caching agent may give significant performance gains.

本文研究基于内容为中心的网络，提出了一种路由器架构，采用基于规则的流推理技术进行智能管理，用于解决缓存策略问题，实现本地缓存经常请求的内容并在内容请求模式变化时自动切换缓存策略，实验表明，该缓存代理器可以显著提高性能表现。