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+
+% 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.
+
+
personal git repositories of Harald Welte. Your mileage may vary