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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10057/848
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| Title: | Combinatorial input recognition algorithm Internet applications to HTTP web servers |
| Authors: | Myers, Joseph K. |
| Issue Date: | 27-Apr-2007 |
| Publisher: | Wichita State University. Graduate School. |
| Citation: | Myers, Joseph K.(2007) . Combinatorial input recognition algorithm Internet applications to HTTP web servers. In Proceedings : 3rd Annual Symposium : Graduate Research and Scholarly Projects. Wichita, KS : Wichita State University, p.173-174 |
| Series/Report no.: | GRASP
v.3 |
| Abstract: | We introduce an algorithm for the classical recognition problem of identifying elements s within a class of strings S =
{s1, s2, ..., sn}. Here it is assumed that struct s = { char *a; int z; }; and that for two strings s1, s2 if s1.z == s2.z then there is J =
{j1, j2, ..., jl} with l(z) < z so that s1[J] == s2[J] ⇒ s1 == s2. The goal is to minimize Σ =
n
k i l si z 1 ( . ) and thus distinguish elements
with the smallest number of comparisons. In general, this simply means that in a language system we face a nonoptimal set of
keywords (n < sizeof(*s.a)z) and so we seek to reconstruct the language with a smaller set of k recognition vertices so that k ≈
logsizeof(*s.a) n. The algorithm is applied to increasing HTTP transmission and request processing speed. The result is an increase
in web server performance from 20,000 to 35,000 or more hits per second. The input recognition algorithm produces the greatest
improvement when interpreting HTTP request headers which are large in proportion to the response. This is the case when
collecting data for statistical analysis of Internet traffic. |
| Description: | Paper presented to the 3rd Annual Symposium on Graduate Research and Scholarly Projects (GRASP) held at the Hughes Metropolitan Complex, Wichita State University, April 27, 2007.
Research completed at Department of Mathematics and Statistics, College of Liberal Arts and Sciences. |
| URI: | http://hdl.handle.net/10057/848 |
| Appears in Collections: | MAT Graduate Student Conference Papers
Proceedings: 3rd Annual Symposium: Graduate Research and Scholarly Projects
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Files in This Item:
| File |
Description |
Size | Format |
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| grasp174.pdf | Conference paper | 189Kb | Adobe PDF | View/Open |
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