Content Placement Aware Cache Decision: A Caching Policy Based On the Content Replacement Ratio for Information-Centric Network

Information-Centric Network (ICN) has been an emerging network paradigm for Future Internet based on a host-to-content approach. In this model, both router and users devices are able to store content. One of the key features of ICN is in-network content caching, reducing bandwidth consumption, server load and even enhancing QoE of end-users. ICN behavior is determined by a 3-tuple, which are routing, content insertion and content replacement. Besides, Routing algorithms influence content insertion performance and, which in turn, influences in replacement policies performance. Furthermore, it is proven that content insertion policies influence routing performance and there is no work regarded to analyze the impact of replacement algorithms in content insertion. Therefore this paper proposed a new caching metric called Replacement Ratio and a dynamic content insertion strategy named RatioCache to prove that content replacement, which is strongly bounded to caching system, also influence the caching process. Our results improved up to 110% cache hit ratio, and reduced up to 30% server load and latency up to 10%, thus RatioCache performance shows replacement policies influence caching policies and enhances network performance.