Using Simulation Modeling to Estimate Time Characteristics of a Distributed Computing System

In present time, distributed computing systems with parallel data processing are widely used. During development of such problem analyzing workload and structure parameters impact on system performance is presented. Special attention have to be pointed towards evaluating time spent by requests in queues effects prioritization algorithms it. To evaluate system’s characteristics different modeling methods can used, most effective which simulation modeling. It important, however, not just conduct modeling, but make sure that results accurate. The purpose this research acquiring use certain accuracy estimation required. achieve task model was developed, represents functioning set period takes into account algorithm, model, corresponds selected computational class. GPSS language used implement the model. Based obtained results, it possible compare for priority depending structure. regenerative method analysis based concepts process regeneration points. paper average queue dependence algorithm presented, as well required desired accuracy. Due this, reasonably recommend advantageous considered implementation developed system, requirements. presented approach assessment their temporal will also undoubtedly useful educational teaching students courses “Computer systems” “Simulation modeling”.