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MODELING OF A HETEROGENEOUS PACKET-SWITCHED DATA NETWORK AS A QUEUING SYSTEM WITH ABSOLUTE PRIORITY AND CHANNEL RESOURCE REDUNDANCY
Sergey I. Saitov, Federal State State Military Educational Institution of Higher Education «Academy of the Federal Service of the Protection of the Russian Federation», Orel, Russia, Sami.stv@mail.ru
Abstract
The article deals with the solution of a timely and relevant scientific and technical problem of modeling the data transmission network of a system for monitoring the state of critical state facilities. The need to develop a new model of such a data transmission network is due to the introduction of means of dynamic multimodal authentication of the legitimacy and deviance of the person of critical objects. Such authentication tools for the data transmission network become new sources of incoming load with special properties. For high-quality performance of the functions of monitoring a critical object, the article suggests a constructive approach to the development of a model of a heterogeneous packet-switched data transmission network, to which not only messages of traditional communication services, but also messages in a multimodal representation circulate. The protocol data blocks of multi-channel messages are small in size, but they must be transmitted to the management body of a critical object with high security re-quirements. In this regard, the object of modeling – a data transmission network with packet communication is represented as a queuing system with absolute priority and channel resource reservation. This approach avoids replacing more resource-intensive messages (traditional communication services) with less resource-intensive ones (messages in a multimodal representation) while meeting the quality of service requirements of both types of load. As a result of the simulation, expressions are obtained for calculating the quality of service indicators for incoming requests for messages of traditional communication services and messages in a multimodal representation. The proposed model, together with the existing models of queuing systems, will allow solving computational and research tasks to find rational design strategies for building data transmission networks with packet switching for monitoring critical state facilities.
Keywords: heterogeneous network, queuing system, capital resource, modeling, monitoring system.
References
1. Federal law of the Russian Federation 68-FZ dated 21.12.1994 (as amended on 8.03.2015) «On protection of population and territories from emergency situations of natural and technogenic character» Moscow: meeting of the legislation of the Russian Federation, 2017.
2. Resolution of the Government of the Russian Federation dated August 14, 2020 No. 1225 «On approval of rules for the development of criteria for classifying objects of all forms of ownership to critical facilities». https://www.garant.ru/products/ipo/prime/doc/74423898.
3. Order of the Government of the Russian Federation No. 1314-R of 27.08.2005 «On Approval of the Concept of the Federal System for Monitoring Critical Facilities and Potentially Dangerous Infrastructure Facilities». https://normativ.kontur.ru/document?moduleId=1&documentId = 84425.
4. V. Vasiliev (2013). Information security of critical objects. PC Week Review: IT Security, September 2013.
5. Methodological recommendations for the categorization of critical information infrastructure objects belonging to critical information infrastructure entities operating in the field of communications. Moscow: OGO «ADE», 2019. 108 p.
6. M.V. Nosov, O.O. Basov, P.Yu. Khakhamov (2014). Improving the efficiency of management in the conditions of changes in the psychophysiological state of personnel. Trudy SPIIRAN. Issue 3 (34). Pp. 112-135.
7. I. A. Saitov, O. O. Basov, A. A. Karpov. (2015). Methodological foundations of the synthesis of polymodal infocommunication systems of public administration: monograph. Orel : Academy of FSO of Russia. 263 p.
8. S.I. Saitov (2017). Multimodal dynamic authentification of mission critical technicians. Modern materials, equipment and technologies. Issue 4 (12). Pp. 36-39.
9. O.O. Basov (2016). Models and method of synthesis of polymodal infocommunication systems: dis. doc. tech. sciences. Orel : Academy of FSO of Russia. 292 p.
10. L. Kleinrock (1979). Theory of Queuing. Moscow: Mashinostroenie. 432 p.
11. J. Evans, C. Filsfils (2007). Deploying IP and MPLS QoS for Multiservice Networks. Theory and Practice, Morgan Kaufmann Publishers. 456 p.
12. S. N. Stepanov (2010). Osnovy teletrafika multiservice networks. Moscow: Eco-Trends. 392 p.
13. I. A. Saitov, R. B. Tregubov (2017). Theoretical foundations of analysis and optimization of hierarchical multilevel routing systems: monograph. Orel: Academy of the FSO of Russia. 587 p.
14. S. N. Stepanov (2015). Teoriya teletrafika: kontseptsii, modeli, prikladeniya. Moscow: Goryachaya liniya, Telekom. 868 p.
15. S. A. Kornilov, A.V. Korolev (2017).. Model of a next-generation multiservice network link with priority service discipline. Telecommunications. Issue 10. Pp. 35-42.
16. The concept of communication quality management in the Russian Federation. Moscow: Ministry of Communications and Mass Communications of the Russian Federation, 2015.
17. S. Ju. Andreev, R. B. Tregubov, A.N. Pereverev (2019). Mathematical model of a packet-switched transport communication network, taking into account the peculiarities of carrying traffic of various priorities. Telecommunications. Issue 8. Pp. 36-48.
18. R. B. Tregubov, S. Ju. Andreev, S. Ju. Tutov (2019). The problem of choosing the bandwidth of communication channels of a transport communication network, taking into account the features of transferring traffic of various priorities. Information systems and technologies. Issue 8 (114). Pp. 93-102.
19. V. V. Iversen (2015). Teletraffic Engineering and Network Planning. DTU Fotonik, 382 p.
20. V. A. Naumov (2007). Teoriya teletrafika multiservice networks. Moscow: RUDN. 191 p.