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BIOADIT
2006
Springer

Packet Classification with Evolvable Hardware Hash Functions - An Intrinsic Approach

13 years 6 months ago
Packet Classification with Evolvable Hardware Hash Functions - An Intrinsic Approach
Bandwidth demands of communication networks are rising permanently. Thus, the requirements to modern routers regarding packet classification are rising accordingly. Conventional algorithms for packet classification use either a huge amount of memory or have high computational demands to perform the task. Using a hash function in order to classify packets is promising regarding both memory and computation time. However, such a hash function needs to be of high performance and cheap in hardware costs. These two design goals are contradictory. To limit the costs of a hardware implementation, known good hash functions, as used for software implementations of encryption algorithms, are applicable to only a limited extend. To achieve the goals mentioned above, an adaptive hash function is needed. In this paper, an approach for a hardware packet classifier using an evolvable hash function is presented. It consists of an evolutionary algorithm which is entirely implemented in hardware.
Harald Widiger, Ralf Salomon, Dirk Timmermann
Added 20 Aug 2010
Updated 20 Aug 2010
Type Conference
Year 2006
Where BIOADIT
Authors Harald Widiger, Ralf Salomon, Dirk Timmermann
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