{"id":149669,"date":"2000-11-01T00:00:00","date_gmt":"2000-11-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/ip-route-lookups-as-string-matching\/"},"modified":"2019-07-17T08:26:12","modified_gmt":"2019-07-17T15:26:12","slug":"ip-route-lookups-as-string-matching","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/ip-route-lookups-as-string-matching\/","title":{"rendered":"IP Route Lookups as String Matching"},"content":{"rendered":"
An IP route lookup can be considered as a string matching problem on the destination address. Finite State Automata (FSA) are a \ufb02exible and ef\ufb01cient way to match strings. This paper describes how a routing table can be encoded as an FSA and how, through a process of state reduction, we can obtain an optimal representation. This gives insights into the basic properties of the longest-pre\ufb01x match problem.<\/p>\n","protected":false},"excerpt":{"rendered":"
An IP route lookup can be considered as a string matching problem on the destination address. Finite State Automata (FSA) are a \ufb02exible and ef\ufb01cient way to match strings. This paper describes how a routing table can be encoded as an FSA and how, through a process of state reduction, we can obtain an optimal 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