Optimization of Information Resources Distribution in Common Information Space

The article solves the problem of optimal distribution of information resources across the storage nodes of a common information space. The relevance of the work is due to the contradictions between the required level of timeliness in a common information space and the insufficient level of development of a scientific and methodological apparatus for improving this property for similar systems. The research methods are based on the use of elements of queuing theories, Markov chains, evolutionary calculations, as well as statistics and general scientific methods (analysis, synthesis, comparison, deduction). The purpose of the work is to increase the timeliness of processing requests by officials to a common information space, taking into account the fulfillment of the requirements for sustainability and safety. Results. The goal was achieved through the development of scientific and methodological support: a model for the exchange of information resources and a methodology for optimizing the information resource allocation plan, as well as scientific and technical proposals for implementation, developed models and methods. When creating the model, conceptual, analytical and simulation approaches were used, which together make it possible to calculate indicators of timeliness, sustainability and safety for any distribution plan. The methodology for optimizing the information resource allocation plan allows you to create an optimal information resource allocation plan that meets the specified requirements. The use of these scientific results in the applied field made it possible to formulate an applied result with practical significance - scientific and technical proposals. In conclusion, an experimental assessment of the proposed approach is presented, proving its effectiveness. Novelty. The scientific results make it possible to evaluate the indicators of the common information space, as well as to search for an optimal plan for the distribution of information resources both at the design stage and at the stage of system reconfiguration. The theoretical significance of the work lies in the fact that it is aimed at further developing the theory of building a common information space in terms of optimizing the information resource allocation plan, and the practical significance lies in the development of technical and applied tools that improve the timeliness, security and sustainability of a common information space.

common information space, information resource, simulation modeling, genetic algorithm