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This novel IPv6 lookup scheme utilizes compressed pipelined tries to improve scalability and reduce memory and power consumption. It addresses the limitations of trie-based algorithms and hash-based engines for IPv6 packet forwarding.
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A Novel Scalable IPv6 Lookup Scheme Using Compressed Pipelined Tries Author: Michel Hanna, Sangyeun Cho, and Rami Melhem Publisher: NETWORKING 2011 Presenter: Han-Chen Chen Date: 2011/5/11
Introduction • IPv6 packet forwarding • IPv4 trie based packet forwarding algorithms port to IPv6 • Trie height • Memory • TCAM • High power consumption • Poor scalability to long IPv6 prefixes • Hash-based hardware engines • Constant search time • Collision chaining causes unbounded memory access time
Introduction • The outcome of any IP lookup operation is an interface (or output port) number. • Real-life backbone routers contain a relatively small number of output ports • The routers assign many next hop addresses to one output port. • This means that the number of unique next hop information is greater than the number of output ports.
Multibit trie (a) Multibit trie for Figure 1(a) with strides {3, 2, 2}. (b) Its leaf-pushed trie.
Uncompressed multibit trie -2 : with child link -1 : null >0 : port number
Compressed multibit trie Uncompressed trie Compressing the leaves Inter-Node Compressed Trie
Performance Evaluation (1/5) Statistics of IPv6 tables on June 2010. H is the number of output ports.
Performance Evaluation (2/5) Number of INCT trie levels vs. total memory (KB) for Linx2 and Eugene1
Performance Evaluation (3/5) Memory (KB) of INCT(7) vs. Uncompressed(7) trie
Performance Evaluation (4/5) Memory (MB) of Lulea(6)/Tree Bitmap, INCT(6), MIPS(57) and Binary INCT(57). MIPS & Binary INCT {8,1…56} Lulea & INCT {16,16,8,8,8,8}