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As part of the digital transformation of various areas of human activity, the urgent task is to transform existing business processes (BP) in order to increase their variability according to the needs of the customer, to increase productivity, quality and competitiveness of products. The introduction of end-to-end digital technologies allows for this. The article examines the experience of transforming the BP of experimental research in solving a number of applied tasks in the field of electronic instrumentation, which is obtained as a result of the introduction of operation technology for test, research and laboratory equipment based on the concept of multitenancy. Developed on the basis of the experience of the authors, a number of industrial samples and prototype multiuser distributed measurement-control systems implementing this concept have allowed to transform the following processes: end-to-end BP of tests on-board electronic equipment of spacecraft (communications, relay, navigation, geodesy, remote sensing, etc.); BP of forming the operational load of the spacecraft's on-board relay complex; BP of conducting experimental laboratory research in the industry training system. The effectiveness of modernized BP was evaluated on the basis of their formalized models and a set of qualitative indicators. The key resulting effects of transformation: improving the quality of BP by improving the informativeness of individual business functions and the efficiency of the use of high-tech experimental equipment; reducing the number of gaps in BP by reducing the number of business roles involved in their implementation; reducing the duration of BP by significantly reducing material and time costs and improving the productivity of individual business functions; transition to a service model "Laboratory As Service" for access to high-tech equipment while performing experimental laboratory studies based on digital educational environments.

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Introduction: rapidly growing volumes of information pose new challenges to modern data analysis technologies. Currently, based on cost and performance considerations, data processing is usually performed in cluster systems. One of the most common related operations in analytics is the joins of datasets. Join is an extremely expensive operation that is difficult to scale and increase efficiency in distributed databases or systems based on the MapReduce paradigm. Despite the fact that a lot of effort has been put into improving the performance of this operation, often the proposed methods either require fundamental changes in the MapReduce structure, or are aimed at reducing the overhead of the operation, such as balancing the load on the network. Objective: to develop an algorithm to accelerate the integration of data sets in distributed systems. Results: a review of the Apache Spark architecture and the features of distributed computing based on MapReduce is performed, typical methods for combining datasets are analyzed, the main recommendations for optimizing the operation of combining data are presented, an algorithm that allows you to speed up the special case of combining implemented in Apache Spark is presented. This algorithm uses the methods of partitioning and partial transfer of sets to the computing nodes of the cluster, in such a way as to take advantage of the merge and broadcast associations. The experimental data presented demonstrate that the method is all the more effective the larger the volume of input data. So, for 2Tb compressed data, acceleration up to ~37% was obtained in comparison with standard Spark SQL.

A model and a method for mathematical modeling of radiation charging of polymer microelectronic equipment housings with increased conductivity are developed, which are based on the application of the approximation function of the experimental dependence of the housing conductivity on the irradiation time obtained using parametric identification methods. The research results are aimed at developing composite polymer materials for microelectronic equipment housings with a conductivity that ensures the absence of electrostatic discharges and significantly increases the active life of spacecraft.