Ensuring availability of digital education platforms’ databases

Abstract

The article offers a procedural model for optimization of making queries against the digital education platform under the conditions of negative information impacts. The model is developed on the basis of the formalized description of the process of database query processing. The model allows you to study the influence of negative information impacts and of the structure of a digital education platform on the availability indicators of its database. A model for determining plans of making queries against a digital education platform database is offered. On the basis of the genetic algorithm, a model for optimizing the allocation of database areas of a digital education platform is constructed. The effectiveness of the proposed models is confirmed by the results of a computational experiment, during which a fragment of a digital education platform was deployed. The probabilistic and temporal characteristics of database queries processing are presented. Assessment of modeling accuracy was carried out by comparing the data obtained experimentally with the data obtained during direct-analogy simulation. The developed models for optimizing the allocation of pieces of data and database query execution plans can be used to improve not only existing database of digital education platforms but also the ones under development.