Влияние дополнительных иерархических уровней на рабочие характеристики распределенных моделей

Abstract

In designing modern computer equipment and digital electronics, the use of simulation models is of great importance. At first, monolithic models were widely used for this. However, they worked well only when their size was relatively small. Because of it developers began to refuse gradually use of monolithic models and to pass to use of the distributed models allowing to increase their speed and to expand borders of their admissible sizes. At the same time, they begin to pay special attention to hierarchical distributed models, which provide the opportunity to investigate the behavior of the created devices at different levels of detail. Similar models made it possible to noticeably expand the permissible boundaries of their sizes and increase the speed of work. However, such distributed models have the disadvantage that their effectiveness is noticeably dependent not only on the number of components included in their composition, but also on the size of these components. he paper presents the results of a study of the effect of introducing an additional upper hierarchical level on the performance of distributed models based on Petri networks. The use of such a method of modifying distributed models leads to an increase in their speed in a wide range of changes in their sizes. At the same time, the most significant effect achieved in distributed models containing a large number of small components. The maximum speed of the thus modified models can be an order of magnitude higher than that of the non-modified ones. As a result, in addition to the overall increase in the efficiency of the modified hierarchical distributed models, this also led to a significant equalization of the performance of the modified distributed models with subordinate components of different sizes.