Санкт-Петербургский горный университет, Санкт-Петербург, Россия:

А. Б. Маховиков, декан факультета фундаментальных и гуманитарных дисциплин, доцент, канд. техн. наук, эл. почта: amakhovikov@spmi.ru
С. Б. Крыльцов, ассистент кафедры информационных систем и вычислительной техники, эл. почта: kryltsov_sb@pers.spmi.ru
К. В. Матрохина, аспирант кафедры информационных систем и вычислительной техники, эл. почта: matrokhina_kv@pers.spmi.ru
В. Я. Трофимец, профессор кафедры информационных систем и вычислительной техники, докт. техн. наук, профессор, эл. почта: trofimets_VYa@pers.spmi.ru

Рассмотрено применение систем видео-конференц-связи для управления промышленными предприятиями, в том числе металлургическими. Эти системы позволяют существенно снизить затраты на проведение совещаний, связанные с командированием сотрудников. Их особенно активно начали использовать в период пандемии Covid-19. Однако все существующие системы не учитывают особенности корпоративной сетевой инфраструктуры. Сложные системы связи, состоящие из различных сегментов, а также симметричных и асимметричных каналов с множеством параметров, которые могут неоднократно варьироваться, создают проблемы для построения эффективных VoIP-решений, особенно при развитии услуг видео-конференц-связи. Поскольку типичный подход к обеспечению конфиденциальности передачи голосовых и видеоданных по сетям связи заключается в том, что каждый маршрут между отправляющей и принимающей сторонами считается общедоступным, он теряет преимущества управления топологией сети в корпоративном секторе. В то же время типичная клиент-серверная архитектура коммуникаций по корпоративным IP-сетям показывает меньшую эффективность по сравнению с одноранговыми коммуникациями из-за меньшего использования знаний сетевой инфраструктуры. Авторы предлагают новый подход к построению систем защищенной корпоративной связи, в основе которого не клиент-серверная архитектура, а архитектура p2p, что позволяет учитывать структуру корпоративной сети предприятия, в том числе металлургического, разгрузить внешний и внутренние каналы связи и снизить вычислительные затраты на уровне хостов.

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