A Method for Scaling Ontological Rule Reasoning for Adaptive Software

A method for increasing the speed of the ontological rule reasoning process for adaptive software based on the proposed scaling method is presented. Modern research on the use of scaling approaches in the process of software design and development is analysed. In accordance with the analysis, it was found that the use of a combination of horizontal and vertical software scaling approaches provides better efficiency and speed of the software complex. Based on the considered software scaling approaches, a method of horizontal scaling of the reasoning process of processing rules for the software adaptation process is proposed. The designed method allows to distribute one large knowledge base into several according to a certain criterion (type of software component or system), which will optimize the process of designing adaptive software. The results of an experimental study of the proposed method are presented, demonstrating an increase in the speed of configuration determination: for an ontological model with the number of instances of 3300 and more, the speed of processing rules increased by 40%.