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Reengineering the topological structures of large-scale monitoring systems

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Języki publikacji
EN
Abstrakty
EN
As part of the solution of problem optimization of large-scale facilities carried out formalization of the system description of large-scale monitoring, defined the composition and the relationship subsets of elements, relationships, topologies and properties. Formulated the mathematical model and the task of reengineering topological structures of centralized three-tier system of largescale monitoring based on indices of cost and efficiency. The proposed mathematical model explicitly set relations between costs for the reengineering and time processing messages in the system from its structure and topology. The analysis of the objective function revealed that envelopes their local extrema are one-extreme (relative to the number of nodes in the system). Considering this, proposed a method of directed inspection of local extrema, which allow to find best solutions in terms of the minimum additional cost. Selection of the single solution from a set of effective proposed to carry out the method of hierarchy analysis or cardinalist approach aided by the additive function of general utility. The values of the weighting coefficients of the utility functions is carried out by an expert or based on comparator identification. Practical application these results allows reduce the time of obtaining solutions and more accurate solving of large dimension problem.
Twórcy
  • Kharkiv National University of Radio Electronics
autor
  • Kharkiv National University of Radio Electronics
Bibliografia
  • 1. Hammer M. and Champy J. 1997. Reengineering the Corporation: A Manifesto revolution in business. SPB: Publisher St. Petersburg University, 332. (in Russian).
  • 2. Davenport Т.Н. 1993. Process Innovation: Reengineering Work Through Information Technology. Boston: Harvard Business School Press, 352.
  • 3. Morris D. and Brandon J. 1993. Reengineering Your Business. London: McGraw Hill, 247.
  • 4. Manganelli R. and Klein M. 1996. The Reengineering Handbook: A Step-By-Step Guide to Business Transformation. New York: Amacom, 318.
  • 5. Beskorovainyi V. V. and Podoliaka K. E. 2015. Development of systemological model the problems structural and topological reengineering of large-scale monitoring systems. Eastern-European Journal of Enterprise Technologies. Vol. 3(75), 37 – 42. (in Russian).
  • 6. Beskorovainyi V. V. and Podoliaka K. E.. 2015. Development model of multicriteria problem for reengineering topological structure of large-scale monitoring system. Eastern-European Journal of Enterprise Technologies. Vol. 4(76), 49–55. (in Russian).
  • 7. Beskorovainyi V.V. 2004. The method of structural and topological optimization for reengineering geographically distributed objects. Information processing systems. Vol. 4, 26–33. (in Russian).
  • 8. Kochkar D. A., Porubyanskyy A. V. and Orekhov A. A. 2012. Infrastructure design ground-based system to monitor forest fires. Radio electronic and computer systems. Vol. 6, 197– 201. (in Russian).
  • 9. Dell’Olmo P. A., Ricciardi N. and Sgalambro A. 2014. A multiperiod maximal covering location model for the optimal location of intersection safety cameras on an urban traffic network. Procedia-Social and Behavioral Sciences. Vol. 108, 106–117.
  • 10. Astrakov S.N. and Erzin A.I. 2012. Building effective models cover the monitoring of extended objects. Computational Technologies. Vol. 17(1), 26–34. (in Russian).
  • 11. Kochkar D. A., Medintsev S. Y. and Orekhov A. A. 2010. Optimal placement of the observation towers terrestrial video monitoring forest fires. Radio electronic and computer systems. Vol. 7, 311–314. (in Russian).
  • 12. Harmanciogammalu N. B., Fistikoglu N. B. and Ozkul O. 1999. Water quality monitoring network design. Dordrecht: Springer Science & Business Media, 290.
  • 13. Malyshev V. V., Krasilschikov M. N. and Bobronnikov V. T. 2000. Satellite Monitoring System. Analysis, synthesis and management. Moscow: MAI, 568. (in Russian).
  • 14. Mogheir Y., de Lima J. L. M. P., Singh V. P. 2008. Entropy and Multi-Objective Based Approach for Groundwater Quality Monitoring Network Assessment and Redesign. Water Resources Management. Vol. 23 (8), 1603–1620.
  • 15. Beskorovainyi V. V. 2012. Systemological analysis of the problem of structural synthesis of geographically distributed systems. Automated control systems and automation devices. Vol. 120, 29 – 37. (in Russian).
  • 16. Zhivitskaya H. 2014. Topological properties and methodology of research of complex logistic systems efficiency. ECONTECHMOD. An international quarterly journal Vol. 3, №3, 23–32.
  • 17. Beskorovainyi V. V. and Ulyanova O. S. 2010. Evaluation time access to information resources of the distributed databases in solving problems of synthesis of physical structures. Systems of control, navigation and communication. Vol. 3(15), 210–214. (in Russian).
  • 18. Karpukhin A. 2014. Mathematical simulation of infocommunication networks Applying chaos theory. ECONTECHMOD. An international quarterly journal Vol. 3, №3, 33–42.
  • 19. Beskorovainyi V. V and Trofimenko I. V. 2006. Structural and parametric identification of the multifactor estimation models. Weapons systems and military equipment. Vol. 3(7), 56 – 59. (in Ukrainian).
  • 20. Beskorovainyi V. V. and Trofimenko I. V. 2006. A method for solving the general problem of identifying the comparator multifactor estimation model. Bionics intelligence. Vol. 2(65), 3 – 7. (in Russian).
  • 21. Podinovskii V. V. and Nogin V. D. 1987. Pareto Optimal Solutions of Multicriteria Problems. Moscow: Science, 412. (in Russian).
  • 22. Beskorovainyi V. V. Forming a plurality of effective options for solving problems of structural synthesis of geographically distributed objects. Electronics and Computer Science. Vol. 4, 113 – 116. (in Russian).
  • 23. Saati T. 1993. Making decisions. Method of hierarchy analysis. Moscow: Radio and Communications. 282. (in Russian).
Typ dokumentu
Bibliografia
Identyfikator YADDA
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