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<article article-type="review-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">tuzsut</journal-id><journal-title-group><journal-title xml:lang="ru">Труды учебных заведений связи</journal-title><trans-title-group xml:lang="en"><trans-title>Proceedings of Telecommunication Universities</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1813-324X</issn><issn pub-type="epub">2712-8830</issn><publisher><publisher-name>СПбГУТ</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.31854/1813-324X-2024-10-3-7-22</article-id><article-id custom-type="edn" pub-id-type="custom">TRWNON</article-id><article-id custom-type="elpub" pub-id-type="custom">tuzsut-587</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>КОМПЬЮТЕРНЫЕ НАУКИ И ИНФОРМАТИКА</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>COMPUTER SCIENCE AND INFORMATICS</subject></subj-group></article-categories><title-group><article-title>Анализ подходов к оптимизации V2X-систем: кластеризация, граничные и туманные вычисления</article-title><trans-title-group xml:lang="en"><trans-title>Analysis of Approaches to Optimization of V2X Systems: Clustering, Edge and Fog Computing</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-8869-6142</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Плотников</surname><given-names>П. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Plotnikov</surname><given-names>P. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>кандидат физико-математических наук, доцент, доцент кафедры высшей математики Санкт-Петербургского государственного университета телекоммуникаций им. проф. М.А. Бонч-Бруевича</p></bio><email xlink:type="simple">plotnikov.pv@sut.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-8852-5607</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Владыко</surname><given-names>А. Г.</given-names></name><name name-style="western" xml:lang="en"><surname>Vladyko</surname><given-names>A. G.</given-names></name></name-alternatives><bio xml:lang="ru"><p>кандидат технических наук, доцент, декан факультета фундаментальной подготовки Санкт-Петербургского государственного университета телекоммуникаций им. проф. М.А. Бонч-Бруевича</p></bio><email xlink:type="simple">vladyko@sut.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Санкт-Петербургский государственный университет телекоммуникаций им. проф. М.А. Бонч-Бруевича<country>Россия</country></aff><aff xml:lang="en">The Bonch-Bruevich Saint Petersburg State University of Telecommunications<country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>02</day><month>07</month><year>2024</year></pub-date><volume>10</volume><issue>3</issue><fpage>7</fpage><lpage>22</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Плотников П.В., Владыко А.Г., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Плотников П.В., Владыко А.Г.</copyright-holder><copyright-holder xml:lang="en">Plotnikov P.V., Vladyko A.G.</copyright-holder><license license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://tuzs.sut.ru/jour/article/view/587">https://tuzs.sut.ru/jour/article/view/587</self-uri><abstract><p>В обзорной статье ставится задача по анализу существующих решений для систем связи на основе технологии Vehicle-to-Everything (V2X) при использовании механизмов кластеризации и периферийных вычислений с целью определения концептуальной модели V2X-системы и наиболее значимых показателей качества обслуживания (QoS) с учетом применения указанного комплекса технологических решений. Новизна работы состоит в том, что исследование направлено на выявление возможностей интеграции механизмов кластеризации, граничных и туманных вычислений для определения оптимальных решений по развертыванию объектов придорожной сетевой инфраструктуры с сохранением высоких показателей QoS для техники средств связи данного типа. Результат заключается в том, что предложен научно-обоснованный технологический подход к построению концептуальной модели V2X-системы с заданными показателями QoS. Практическая и теоретическая значимость. Полученные результаты могут быть использованы при проектировании и развертывании V2X-систем. </p></abstract><trans-abstract xml:lang="en"><p>The review sets the task of analyzing existing solutions for communication systems based on Vehicle-to-Everything (V2X) technology using clustering and edge computing mechanisms in order to determine the conceptual model of the V2X system and the most significant indicators of quality of service (QoS), taking into account the application of the specified complex of technological solutions. The novelty of the work lies in the fact that the research is aimed at identifying the possibilities of integrating clustering mechanisms, edge and fog computing to determine optimal solutions for the deployment of roadside network infrastructure objects while maintaining high QoS indicators for communication equipment of this type. The result is that a scientifically based technological approach to constructing a conceptual model of a V2X system with specified QoS indicators has been proposed. Practical and theoretical relevance. The results obtained can be used in the design and deployment of V2X systems.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>Vehicle-to-Everything</kwd><kwd>кластеризация</kwd><kwd>граничные вычисления</kwd><kwd>туманные вычисления</kwd><kwd>QoS</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Vehicle-to-Everything</kwd><kwd>clustering techniques</kwd><kwd>edge computing</kwd><kwd>fog computing</kwd><kwd>QoS</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Mueck M., Karls I. Networking Vehicles to Everything: Evolving Automotive Solutions. Walter de Gruyter, 2018. 233 p.</mixed-citation><mixed-citation xml:lang="en">Mueck M., Karls I. 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