Abstract
Recently, content centric networking (CCN) attracts attention as a next generation network on which every router forwards a packet to another router and also functions as a server. A CCN router has a forwarding table called FIB (Forwarding Information Base) but its table look-up can become a bottleneck. In this paper, we propose FIB data structure for CCN routers which can reduce the number of comparisons in its look-up table. Our proposed FIB is composed of a bloom filter and a hash table and each hash entry is connected to a balanced binary-search tree. By using our FIB, the number of comparisons cannot much increase even if hash collisions occur. Experimental results demonstrate the effectiveness of the proposed FIB over the several existing methods.
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