{"id":10337,"date":"2026-04-07T08:56:07","date_gmt":"2026-04-07T07:56:07","guid":{"rendered":"https:\/\/izvestiyakbncran.ru\/?page_id=10337"},"modified":"2026-04-10T09:27:43","modified_gmt":"2026-04-10T08:27:43","slug":"25-6-23-en","status":"publish","type":"page","link":"https:\/\/izvestiyakbncran.ru\/index.php\/en\/25-6-23-en\/","title":{"rendered":"25.6.23 En"},"content":{"rendered":"\n<h1 class=\"wp-block-heading has-lora-font-family\" style=\"font-size:22px\"><strong>Intelligent traffic distribution model in cluster segments of heat technology systems<\/strong><\/h1>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-79d92e405e53125383d4ae344e1ea531\" style=\"margin-top:0;margin-bottom:0;padding-top:0;padding-bottom:0\"><strong>B.V. Okunev, E.K. Vereykina, A.I. Lazarev<\/strong><\/p>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-86b70c892ee51d64e6bf0730e3274f25\" style=\"margin-top:0;margin-bottom:0;padding-top:0;padding-bottom:0\"><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-wide\" style=\"margin-top:var(--wp--preset--spacing--20);margin-bottom:var(--wp--preset--spacing--20)\"\/>\n\n\n\n<div class=\"wp-block-group is-nowrap is-layout-flex wp-container-core-group-is-layout-d3328a80 wp-block-group-is-layout-flex\" style=\"margin-top:0;margin-bottom:0;padding-top:var(--wp--preset--spacing--20);padding-bottom:var(--wp--preset--spacing--20)\">\n<p class=\"has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-fa99f84d8051eb763ab85c3007cdb1c2\" style=\"color:#5b1919;text-decoration:underline\"><strong><strong>Upload the full text<\/strong><\/strong><\/p>\n\n\n\n<div class=\"wp-block-group is-vertical is-layout-flex wp-container-core-group-is-layout-9151b400 wp-block-group-is-layout-flex\" style=\"min-height:0px;margin-top:0;margin-bottom:0;padding-top:0;padding-bottom:0\">\n<div class=\"wp-block-buttons is-content-justification-left is-layout-flex wp-container-core-buttons-is-layout-15bf754d wp-block-buttons-is-layout-flex\" style=\"margin-top:0;margin-bottom:0;padding-top:0;padding-right:0;padding-bottom:0;padding-left:0\">\n<div class=\"wp-block-button has-custom-width wp-block-button__width-100 is-style-outline is-style-outline--1\"><a class=\"wp-block-button__link has-background-background-color has-text-color has-background has-link-color has-border-color has-small-font-size has-custom-font-size wp-element-button\" href=\"http:\/\/izvestiyakbncran.ru\/wp-content\/uploads\/2026\/04\/23-oku.pdf\" style=\"border-color:#5b1919;border-style:solid;border-width:2px;border-radius:8px;color:#5b1919;padding-top:0.4rem;padding-right:var(--wp--preset--spacing--40);padding-bottom:0.4rem;padding-left:var(--wp--preset--spacing--40)\">PDF<\/a><\/div>\n<\/div>\n\n\n\n<div style=\"height:0px;width:0px\" aria-hidden=\"true\" class=\"wp-block-spacer wp-container-content-273e683f\"><\/div>\n<\/div>\n<\/div>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-353603951785938682a1581bf95d0196\" style=\"line-height:1.4\"><em><strong><strong>Abstract<\/strong>.<\/strong> <\/em>Nowadays decision-making on the management of heat technology systems is a rather complex process. The parameters direct expansion and interrelated elements among participants significantly affects the scaling of information flow assessment and control systems. Despite the rather rapid information and communication technologies development, the existing tools for organizing infrastructure support for the processes of interaction between the client and the server still have significant drawbacks. The imperfection of such solutions not only hinders the increasing of their effectiveness possibility, but also are vulnerabilities from the point of the security system functioning view as a whole. The purpose of the study is algorithmic and software develop of network segments flexible topology taking into account dynamically changing factors. As a result, an analysis of existing solutions for the construction of modular network protocols for the organization of the functioning of complex systems is carried out. Their advantages, vulnerabilities and potential sources of efficiency growth have been identified, which the proposed solution is aimed at their improvement and elimination. A model of a secure network of remote interaction and exchange of critical information is built to ensure stable operation of complex technical equipment in a heat technology system. A special feature of the developed model is the module of secure access to the required information due to direct p2p exchange between clients using a secure tunnel. The practical significance lies in the possibility of using the developed model of intelligent traffic distribution in the network segments of heat technology systems of various types of economic activity.<\/p>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-df03325adc83c022634de6b79d43432f\" style=\"line-height:1.4\"><\/p>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-e889e9bd3a2de88ebf4bcd3a5e93e2ce\" style=\"line-height:1.4\"><strong><em><strong>Keywords<\/strong>:<\/em><\/strong> TCP\/IP topologies, data security, data management, neural models, thermal technology complexes<\/p>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-df03325adc83c022634de6b79d43432f\" style=\"line-height:1.4\"><\/p>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family wp-elements-fc8f6e2d7dbbb5990bc9d03c993ca473\" style=\"font-size:12px;line-height:1.4\"><strong><strong>For citation<\/strong>.<\/strong> Okunev B.V., Vereykina E.K., Lazarev A.I. Intelligent traffic distribution model in cluster segments of heat technology systems. News of the Kabardino-Balkarian Scientific Center of RAS. 2023. No. 6(116). Pp. 235\u2013246. DOI: 10.35330\/1991-6639-2023-6-116-235-246<\/p>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family wp-elements-17c3333a0b1db39b7fa4a3e1a1572bc4\" style=\"font-size:12px;line-height:1.4\"><\/p>\n\n\n\n<details class=\"wp-block-details has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-4568cd75d4d035a402b0cd596cd29e2b is-layout-flow wp-container-core-details-is-layout-0ab540ad wp-block-details-is-layout-flow\" style=\"font-style:normal;font-weight:700;line-height:1.5\"><summary><strong>R<\/strong>eferences<\/summary>\n<ol style=\"margin-top:0;margin-bottom:0\" class=\"wp-block-list\">\n<li style=\"font-style:normal;font-weight:400\">Kensworth S., Saumitra A., Vahid D. et al. 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New York: Apress, 2022. 356 p.<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Chumakova E.V., Korneev D.G., Gasparian M.S. An approach to the design of a neural network for the formation of an individual trajectory of knowledge testing. <em>Prikladnaya informatika<\/em> [Journal of Applied Informatics]. 2022. Vol. 17. No. 5. Pp. 102\u2013115. DOI: 10.37791\/2687-0649-2022-17-5-102-115. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Nepomnyashchiy O.V. Resource estimation method in the process of functional-flow highlevel VLSI synthesis. <em>Prikladnaya informatika<\/em> [Journal of Applied Informatics]. 2022. Vol. 17. No. 3. Pp. 34\u201344. DOI: 10.37791\/2687-0649-2022-17-3-34-44. (in Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Park M.-H., Chakraborty S., Vuong Q.D. et al. Anomaly detection Babed on time series data of hydraulic accumulator. <em>Sensors. <\/em>2022. Vol. 22(9428). 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Boca Raton: CRC Press, 2019. 328 p.<\/li>\n<\/ol>\n<\/details>\n\n\n\n<details class=\"wp-block-details has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-5de288a37079e34ffe6250c0762300ad is-layout-flow wp-container-core-details-is-layout-5dafc681 wp-block-details-is-layout-flow\" style=\"font-style:normal;font-weight:700;line-height:1.5\"><summary><strong>Information about the authors<\/strong><\/summary>\n<div class=\"wp-block-group is-vertical is-layout-flex wp-container-core-group-is-layout-b291ae12 wp-block-group-is-layout-flex\" style=\"min-height:0px;margin-top:0;margin-bottom:0;padding-top:var(--wp--preset--spacing--20);padding-right:var(--wp--preset--spacing--40);padding-bottom:var(--wp--preset--spacing--20);padding-left:var(--wp--preset--spacing--40)\">\n<p style=\"font-style:normal;font-weight:400\"><strong>Okunev Boris Vasilievich<\/strong>, Candidate of Technical Sciences, Associate Professor, Teacher of the Department of Information Technologies in Economics and Management, National Research University \u201cMoscow Energy Institute\u201d \u2013 branch in Smolensk;<br>214013, Russia, Smolensk, 1 Energetichesky proezd;<br>ok-bmw@rambler.ru, ORCID: https:\/\/orcid.org\/0000-0001-8740-7855<br><strong>Vereykina Elizaveta Konstantinovna<\/strong>, Graduate student of the National Research University \u201cMoscow Energy Institute\u201d;<br>111250, Russia, Moscow, 17 Krasnokazarmennaya street;<br>vereikina.ek@mail.ru, ORCID: https:\/\/orcid.org\/0000-0003-3791-9099<br><strong>Lazarev Alexey Igorevich<\/strong>, Assistant of the Department of Information Technologies in Economics and management, National Research University \u201cMoscow Energy Institute\u201d \u2013 branch in Smolensk;<br>214013, Russia, Smolensk, 1 Energetichesky proezd;<br>anonymous.prodject@gmail.com, ORCID: https:\/\/orcid.org\/0000-0003-3252-0409<\/p>\n\n\n\n<p style=\"font-style:normal;font-weight:400\"><br><\/p>\n\n\n\n<p style=\"font-style:normal;font-weight:400\"><\/p>\n\n\n\n<p style=\"font-style:normal;font-weight:400\"><\/p>\n\n\n\n<p style=\"font-style:normal;font-weight:400\"><\/p>\n\n\n\n<p style=\"font-style:normal;font-weight:400\"><\/p>\n\n\n\n<p style=\"font-style:normal;font-weight:400\"><\/p>\n<\/div>\n<\/details>\n","protected":false},"excerpt":{"rendered":"<p>Intelligent traffic distribution model in cluster segments of heat technology systems B.V. Okunev, E.K. Vereykina, A.I. Lazarev Upload the full text Abstract. Nowadays decision-making on the management of heat technology systems is a rather complex process. The parameters direct expansion and interrelated elements among participants significantly affects the scaling of information flow assessment and control [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"wp-custom-template-home","meta":{"footnotes":""},"class_list":["post-10337","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>25.6.23 En - \u0418\u0417\u0412\u0415\u0421\u0422\u0418\u042f \u041a\u0410\u0411\u0410\u0420\u0414\u0418\u041d\u041e-\u0411\u0410\u041b\u041a\u0410\u0420\u0421\u041a\u041e\u0413\u041e \u041d\u0410\u0423\u0427\u041d\u041e\u0413\u041e \u0426\u0415\u041d\u0422\u0420\u0410 \u0420\u0410\u041d\u00bb<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/izvestiyakbncran.ru\/index.php\/en\/25-6-23-en\/\" \/>\n<meta property=\"og:locale\" content=\"ru_RU\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"25.6.23 En - \u0418\u0417\u0412\u0415\u0421\u0422\u0418\u042f \u041a\u0410\u0411\u0410\u0420\u0414\u0418\u041d\u041e-\u0411\u0410\u041b\u041a\u0410\u0420\u0421\u041a\u041e\u0413\u041e \u041d\u0410\u0423\u0427\u041d\u041e\u0413\u041e \u0426\u0415\u041d\u0422\u0420\u0410 \u0420\u0410\u041d\u00bb\" \/>\n<meta property=\"og:description\" content=\"Intelligent traffic distribution model in cluster segments of heat technology systems B.V. 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