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Machine Learning Approach to Tuning Distributed Operating System Load Balancing Dr. J. Michael Meehan
 

Summary: Machine Learning Approach to Tuning Distributed Operating System Load Balancing
Algorithms
Dr. J. Michael Meehan
Computer Science Department
Western Washington University
Bellingham, Washington, 98225 USA
meehan@wwu.edu
Alan Ritter
Computer Science Department
Western Washington University
Bellingham, Washington, 98225 USA
ritter.alan@gmail.com
Abstract
This work concerns the use of machine learning
techniques (genetic algorithms) to optimize load
balancing policies in the openMosix distributed
operating system. Parameters/alternative algorithms
in the openMosix kernel were dynamically
altered/selected based on the results of a genetic
algorithm fitness function. In this fashion optimal

  

Source: Anderson, Richard - Department of Computer Science and Engineering, University of Washington at Seattle

 

Collections: Computer Technologies and Information Sciences