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author | Harald Welte <laforge@gnumonks.org> | 2015-10-25 21:00:20 +0100 |
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committer | Harald Welte <laforge@gnumonks.org> | 2015-10-25 21:00:20 +0100 |
commit | fca59bea770346cf1c1f9b0e00cb48a61b44a8f3 (patch) | |
tree | a2011270df48d3501892ac1a56015c8be57e8a7d /2005/flow-accounting-ols2005/OLS2005/moilanen/moilanen-abstract.tex |
import of old now defunct presentation slides svn repo
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diff --git a/2005/flow-accounting-ols2005/OLS2005/moilanen/moilanen-abstract.tex b/2005/flow-accounting-ols2005/OLS2005/moilanen/moilanen-abstract.tex new file mode 100644 index 0000000..60edd6d --- /dev/null +++ b/2005/flow-accounting-ols2005/OLS2005/moilanen/moilanen-abstract.tex @@ -0,0 +1,25 @@ + +% Registration Using genetic algorithms to autonomically tune the +% kernel. +% Proposal Jake Moilanen (moilanen@austin.ibm.com) + +One of the next obstacles in autonomic computing is +having a system self-tune for any workload. Workloads +vary greatly between applications and even during an +application's life cycle. It is a daunting task for a +system administrator to manually keep up with a +constantly changing workload. To remedy this +shortcoming, intelligence needs to be put into a system +to autonomically handle this process. One method is to +take an algorithm commonly used in artificial +intelligence and apply it to the Linux kernel. + +This paper will cover the use of genetic-algorithms to +autonomically tune the kernel through the development +of the genetic-library. It will discuss the overall +designed of the genetic-library along with the hooked +schedulers, current status, and future work. Finally, +early performance numbers will be covered to give an +idea as towards the viability of the concept. + + |