Management of complex distributed systems, at present, is carried out using information technologies designed to collect and manage a large amount of heterogeneous information of an organization or institution. The computer infrastructure of such systems is also a complex distributed system, and information about the location and mutual arrangement of its individual components, as well as the location of the associated infrastructure and main users, is essential for its high-quality functioning. This paper proposes a method for mining spatial data to formalize the process of creating specialized databases for the implementation (creation) of individual subsystems as part of complex distributed information systems. The results of the application of this method for the construction of one of the subsystems, namely, the subsystem of information support for the management of computer infrastructure, as part of a complex distributed information system, are presented on the example of the geoinformation system of the Ufa State Aviation Technical University. The proposed approach to intelligent analysis and representation of spatial data can be used to build complex information systems in significantly distributed organizational and infrastructural systems.

With the advent of new sources and technologies for obtaining data on the location and mutual location of objects and systems in general, as well as their integration into real – time control methods and algorithms, conditions have been created for more modern and high-quality use of computer technologies in the management of complex distributed systems (SRS). The components of such SRS are themselves complex distributed systems and have (or can potentially have), among other things, a negative impact on each other, that is, they represent or form a threat to each other. One of the most urgent tasks of our time is to develop various, usually highly computerized, tools and methods for parrying threats based on monitoring and forecasting the development of processes (including physical ones) that form the basis of these threats. This article discusses the problem of parrying one of the types of threats – flood. The issues of using various types of information coming from various sources – sensors for monitoring and forecasting the water level and associated flooding of the corresponding territories are considered. The system of using real-time automatically measured SRS parameters and their further application for digital decision support for parrying threats is a complex highly computerized technical system belonging to the class of the Internet of things. At the same time, it is one of the digital subsystems of the SRS that have a positive impact on other components of the SRS as a whole. All this information comes from various (technically and departmental) heterogeneous sources, so for its rapid and high-quality storage and use for monitoring, forecasting and parrying threats to the SRS, it needs specialized methods of analysis, structuring and distributed storage.

Management of complex distributed systems, at present, is carried out using information systems designed to collect and manage a large amount of heterogeneous information of an organization or institution. The technical component of such information systems is itself a complex distributed system, and information about the location and mutual arrangement of its individual components, as well as the location of the associated infrastructure and main users, is essential for its high-quality functioning. A method of spatial data mining that suggested in this paper, proposed for formalizing the process of creating specialized databases for the implementation (creation) of individual subsystems as part of complex distributed information systems. The results of the application of this method for the construction of one of the subsystems, namely, the subsystem of information support for the management of the technical component of the information system, as part of a complex distributed information system, are presented on the example of the geoinformation system of the Ufa State Aviation Technical University. The proposed approach to intelligent analysis and representation of spatial data, consisting in a formalized description of various thematic data applied to solving specific problems of information management support in complex distributed systems, can be applied to the construction of complex information systems in significantly distributed organizational and infrastructure.

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