Currently, the problem of increasing the efficiency of managing resource-intensive tasks in distributed computing systems is quite acute. Analysis of existing task dispatching algorithms for traditional computing systems showed the limitations of using these methods in heterogeneous systems, as a result of which significant delays can occur between task switching.A functional mathematical model for estimating the workload of distributed computing systems is proposed, based on determining the probability of downtime of the processing center as a criterion for assessing the system load. Using this model will provide increased efficiency in managing resource-intensive tasks in distributed computing systems.

Keywords: mathematical model, distributed computing system, processing center, loading

This article may be of interest to researchers who are designing new machine systems for felling-area works with autonomous energy supply. A methodology based on the decomposition method for creating an simulation functional model of a system consisting of a mobile wood chipper for felling-area works and a mobile energy module is proposed. The machine system of interest is an original technical solution. It consists of an autonomous energy supply module with powered by wood fuel external combustion engine and a logging machine for the production of wood chips. The functioning equipment units of the system is simulated using the MATLAB Simulink dynamic simulation environment. For the convenience of experiments, the use of LabVIEW virtual instruments is proposed for setting input and control parameters, as well as displaying output parameters. The input, control, disturbing and output parameters of each functional block of the system are described: gas generator, external combustion engine, electric generator, uninterruptible power supply, electric motor, propulsion device, wood chipper unit, hydraulic manipulator. It is supposed to use this simulation model to justify the main parameters of the autonomous system for the production of wood chips, as well as the further development of an automated control system.

Keywords: fuel chips, wood fuel, unmerchantable tree, simulation model, LabVIEW, Simulink, mobile chipper, autonomous power supply, logging