Geodesic
Improving the efficiency of decision-making during emergency situations in cyberphysical distributed production systems
Vestnik Sankt-Peterburgskogo universiteta. Prikladnaâ matematika, informatika, processy upravleniâ, Tome 17 (2021) no. 1, pp. 72-80
Cet article a éte moissonné depuis la source Math-Net.Ru

Voir la notice de l'article

This paper presents results of approbation of existing mathematical models, enabling operative assessment of the required link resource to serve data streams, generated by the elements of technical vision subsystem in cyberphysical distributed production systems. Simulation experiments allowed to discover dependencies between achievable multimedia traffic packet processing delay in switching systems and link-level resource, reserved for respective data transfer. Obtained dependencies are to be used during design of algorithm for link resource control for increasing speed of decision making in emergency.
Keywords: link resource, quality of service, sensory system, cyberphysical system, distributed production system, operational efficiency, emergency. 
@article{VSPUI_2021_17_1_a6,
     author = {D. V. Shelkovyy and O. Yu. Sivchenko and E. E. Usina and A. N. Bykov},
     title = {Improving the efficiency of decision-making during emergency situations in cyberphysical distributed production systems},
     journal = {Vestnik Sankt-Peterburgskogo universiteta. Prikladna\^a matematika, informatika, processy upravleni\^a},
     pages = {72--80},
     year = {2021},
     volume = {17},
     number = {1},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VSPUI_2021_17_1_a6/}
}
TY  - JOUR
AU  - D. V. Shelkovyy
AU  - O. Yu. Sivchenko
AU  - E. E. Usina
AU  - A. N. Bykov
TI  - Improving the efficiency of decision-making during emergency situations in cyberphysical distributed production systems
JO  - Vestnik Sankt-Peterburgskogo universiteta. Prikladnaâ matematika, informatika, processy upravleniâ
PY  - 2021
SP  - 72
EP  - 80
VL  - 17
IS  - 1
UR  - http://geodesic.mathdoc.fr/item/VSPUI_2021_17_1_a6/
LA  - ru
ID  - VSPUI_2021_17_1_a6
ER  - 
%0 Journal Article
%A D. V. Shelkovyy
%A O. Yu. Sivchenko
%A E. E. Usina
%A A. N. Bykov
%T Improving the efficiency of decision-making during emergency situations in cyberphysical distributed production systems
%J Vestnik Sankt-Peterburgskogo universiteta. Prikladnaâ matematika, informatika, processy upravleniâ
%D 2021
%P 72-80
%V 17
%N 1
%U http://geodesic.mathdoc.fr/item/VSPUI_2021_17_1_a6/
%G ru
%F VSPUI_2021_17_1_a6
D. V. Shelkovyy; O. Yu. Sivchenko; E. E. Usina; A. N. Bykov. Improving the efficiency of decision-making during emergency situations in cyberphysical distributed production systems. Vestnik Sankt-Peterburgskogo universiteta. Prikladnaâ matematika, informatika, processy upravleniâ, Tome 17 (2021) no. 1, pp. 72-80. http://geodesic.mathdoc.fr/item/VSPUI_2021_17_1_a6/

[1] J. Abreu, “Business processes improvement on maintenance management: A case study”, Procedia Technology, 9 (2013), 320–330 | DOI

[2] H. Fleischmann, J. Kohl, J. Franke, A. Reidt, “Improving maintenance processes with distributed monitoring systems”, 13-th International Conference on Industrial Informatics, 2016, 377–382

[3] S. Yin, O. Kaynak, “Big data for modern industry: Challenges and trends”, Proceedings of IEEE, 103:2 (2015), 143–146 | DOI

[4] S. Kranzer, “An intelligent maintenance planning framework prototype for production systems”, Proceedings of IEEE, 18-th Annual International Conference on Industrial Technology, 2017, 1124–1129

[5] I. V. Vatamaniuk, R. N. Iakovlev, “Generalized theoretical models of cyberphysical systems”, Proceedings of the Southwest State University, 23:6 (2019), 161–175 (In Russian)

[6] E. D. Osborne, A. Simha, Traffic engineering with MPLS, Cisco Press, M., 2003, 608 pp.

[7] R. C. Calinescu, J. Camara Moreno, C. Paterson, “Socio-cyber-physical systems: models, opportunities, open challenges”, 5-th International Workshop on Software Engineering for Smart Cyber-Physical Systems (York, 2019), 2–6 | Zbl

[8] A. Levakov, A. Sokolov, N. Sokolov, “Models of incoming traffic in packet networks”, T-Comm, 9:5 (2015), 91–94

[9] D. V. Shelkovyy, “The model company multiservice network node model”, Scientific of lists of Belgorod State University. Economics. Informatics, 2017, no. 42, 148–157 (In Russian)

[10] J. Gama, “On evaluating stream learning algorithms”, Machine Learning, 90:3 (2013), 317–346 | DOI | MR | Zbl

[11] G. Millan, G. Lanfranc, “A fast multifractal model for self-similar traffic flows in high-speed computer networks”, Procedia Computer Science, 17 (2013), 420–425 | DOI

[12] D. V. Shelkovyy, O. Y. Mironov, O. O. Basov, “The real-time data streams modelling in secure corporate multiservice communication networks by application of deterministic network calculus theory”, Scientific of lists of Belgorod State University. Economics. Informatics, 45:3 (2018), 584–594 (In Russian)

[13] G. A. Kuchuk, “Method of the aggregated traffic statistical descriptions operative estimation”, Aerospace engineering and technology. Scientific and technical Journal. Khar'kov, 2013, no. 7, 211–214 (In Russian)

[14] Sh. Vegeshna, Kachestvo obsluzhivaniya v setyakh IP, per. s angl., Izdat. Dom «Vilyams», M., 2003, 368 pp.

[15] T. Nguen, “Formal requirements modeling for simulation-based verification”, 11-th International Modelica Conference, 2015, 622–635

[16] ITU-T Recommendation. Y.1541. Requirements for network performance indicators for IP-based services. Series Y. Global information infrastructure, aspects of the internetwork protocol and the next-generation network, ITU, 2011

[17] N. V. Kireeva, L. R. Chupakhina, O. A. Karaulova, “Approximation of the multicast traffic by using the lindley equation”, International Journal of Applied and Basic Research, 2017, no. 4-2, 313–317 (In Russian)

[18] D. K. Levonevskij, I. V. Vatamanyuk, D. A. Malov, “Ensuring the availability of corporate intellectual space services by controlling the flow of input data”, Software engineering, 10:1 (2019), 20–29 (In Russian) | DOI

[19] D. A. Malov, A. Y. Edemskij, A. I. Savel'ev, “Development of a proactive cyber-physical localization system based on machine learning methods”, Information technology and computing systems, 2018, no. 4, 72–83 (In Russian) | DOI