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Mathematical Model of Data Processing System for Information Support of Innovative Cluster Works

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Computational and Information Technologies in Science, Engineering and Education (CITech 2018)

Abstract

Information systems of innovation management are an important component of cluster organization infrastructure. The creation of such systems involves working with a wide range of commercial information resources. These resources are often used to form thematic databases designed to meet the information needs of cluster organizations. It is highly relevant to find the topology of an information processing system which would minimize overall operational costs for information support of innovative cluster activities. The paper presents the mathematical statement of the problem concerning forming optimal topology of such system. It is shown that finding optimal topology of a distributed information processing system can be reduced to solving the problem of integer linear programming, which would allow minimizing the system operation costs.

This work was supported by a grant from the MES RK (project No. AP05134019 “Development of scientific and methodological foundations and applied aspects of building a distributed information support system for innovation activities, considering the specific features of each of the stages of the innovation life cycle”.

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Correspondence to L. K. Bobrov .

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Bobrov, L.K., Medyankina, I.P. (2019). Mathematical Model of Data Processing System for Information Support of Innovative Cluster Works. In: Shokin, Y., Shaimardanov, Z. (eds) Computational and Information Technologies in Science, Engineering and Education. CITech 2018. Communications in Computer and Information Science, vol 998. Springer, Cham. https://doi.org/10.1007/978-3-030-12203-4_7

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  • DOI: https://doi.org/10.1007/978-3-030-12203-4_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-12202-7

  • Online ISBN: 978-3-030-12203-4

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