Read e-book online Hardware Based Packet Classification for High Speed Internet PDF

By Chad R. Meiners, Alex X. Liu, Eric Torng

ISBN-10: 1441966994

ISBN-13: 9781441966995

Dependent Packet type for top velocity net Routers offers the latest advancements in dependent packet category algorithms and architectures. This booklet describes 5 equipment which decrease the distance that classifiers occupy inside of TCAMs; TCAM Razor, All-Match Redundancy elimination, Bit Weaving, Sequential Decomposition, and Topological alterations. those tools show that during such a lot instances a considerable aid of area is completed. Case stories and examples are supplied all through this publication. approximately this e-book: • provides the one publication available in the market that completely covers dependent packet type algorithms and architectures. • Describes 5 equipment which decrease the distance that classifiers occupy inside of TCAMs: TCAM Razor, All-Match Redundancy removing, Bit Weaving, Sequential Decomposition, and Topological changes. • presents case stories and examples all through. established Packet category for prime pace web Routers is designed for pros and researchers who paintings in the similar box of router layout. Advanced-level scholars focusing on machine technology and electric engineering also will locate this e-book useful as a textual content or reference e-book.

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Extra resources for Hardware Based Packet Classification for High Speed Internet Routers

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After bit merging, we revert all ternary strings back to their original bit permutation to produce the ¿nal TCAM table. We name our solution bit weaving because it manipulates bit ordering in a ternary string much like a weaver manipulates the position of threads. 1 shows that bit weaving can further compress a minimal pre¿x classi¿er. The input classi¿er has 5 pre¿x rules with three decisions (0, C. R. 1007/978-1-4419-6700-8_5, © Springer Science+Business Media, LLC 2010 42 5 Bit Weaving 1, and 2) over two ¿elds F1 and F2 , where each ¿eld has two bits.

4. 1. A rule r is upward redundant if and only if there are no packets whose ¿rst matching rule is r [Liu and Gouda(2005)]. Clearly, upward redundant rules can be removed from a classi¿er with no change in semantics. 1. For any two rules ri and r j (i < j) in a pre¿x classi¿er ⟨r1 , ⋅ ⋅ ⋅ , rn ⟩ that ⊔ has no upward redundant rules, ℙ(ri ) ∩ ℙ(r j ) ∕= 0/ if and only if ℙ(ri ) ⊂ ℙ(r j ). 4. For any one-dimensional minimum pre¿x packet classi¿er ℂ, we have ℂ ≡ ℂs . Proof. Consider any two rules ri , r j (i < j) in ℂ.

Thus, the result follows. 4, given a minimum sized pre¿x bit-swapped partition, we ¿rst sort the rules in decreasing order of their pre¿x length. Second, we further partition the rules into pre¿x chunks based on their pre¿x length. 4, the order of the rules within each pre¿x chunk is irrelevant. 3, we need to quickly determine what rules are ternary adjacent. 5, we can signi¿cantly reduce our search space by searching for mergeable rules only among the rules which have the same bit mask and decision.

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Hardware Based Packet Classification for High Speed Internet Routers by Chad R. Meiners, Alex X. Liu, Eric Torng


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