A Proactive Caching Scheme Based on Content Concentration in Content-Centric Networks
Xi Luo1,2
and Ying An1
1Institute
of Information Security and Big Data, Central
South University, China
2Department
of Information Technology, Hunan Police Academy, China
Abstract: Content-Centric Networking (CCN) provides a new networking paradigm to
overcome the challenges of the current Internet and better support the
content-oriented services. In-network caching is one of the core technologies
for optimizing content distribution and has been attracting ever increasing
attention. In the current CCN caching schemes, the caching decision is only
implemented during the content response process after the content which matches
the user request is found, which lacks the capacity of proactive content
advancement. This paper borrows the idea of molecular diffusion and introduces
the conception of content concentration into the caching decision to
analytically model the user demands for different contents in different network
regions, and then a proactive caching scheme based on content concentration is
proposed. In this scheme, the content replica can be proactively pushed from
the high concentration region to the low concentration one to realize the fast
deployment of content cache replicas and the dynamic adjustment of the cache
location. Furthermore, a probabilistic content placement method is also
implemented by synthetically considering the content popularity. The simulation
results show that this scheme can effectively improve the cache hit ratio and
shorten the delay involved in content search and response.
Keywords: Content-centric networking, diffusion theory, proactive caching, content popularity.
Received October 13, 2016; accepted November 27, 2017
