Computer system optimization using simulation model and adaptive algorithms

A problem of effective jobs execution control in computer system is considered. An approach based on the use of adaptive strategies in the simulation model is proposed. On an example of the specific computer system, an original methodology of simulation model construction is outlined. As adaptive strategies, the gradient algorithms are used, developed in the theory of partially observed Markov decision-making process. The results of computational experiment are presented.