DOI

The article discusses a distributed container-based fog computing that powers the window system. Distributed fog computing can significantly increase the speed of window system rendering. The article proposes an intelligent window system for a browser for visualization events detected in a fog computing environment. An overview of visualization tools and settings for video servers is presented. Disadvantages of existing solutions are identified. A new system for visualizing events and editing settings in a browser for a video server in fog is created. The novelty lies in the fact that windows with information in the browser are formed by a neural network based on the user's preferences defined using personal information that is collected with user's consent. The window system in the browser is mobile, high-speed and universal and supports the possibility of configuration. The proposed system was tested in subway subject domain. Its usage made it possible to increase the reaction rate of personnel in the subway by 20.3%. The created window system for the browser can be applied in different areas: airports, shopping centers, hospital buildings, cruise liners and other areas of limited space to improve the consistency of services and the speed of staff interaction.
Язык оригиналаанглийский
Название основной публикацииComputational Science and Its Applications – ICCSA 2025 Workshops. ICCSA 2025. Lecture Notes in Computer Science
ИздательSpringer Nature
Страницы309–324
Число страниц16
ISBN (электронное издание)978-3-031-97648-3
ISBN (печатное издание)978-3-031-97647-6
DOI
СостояниеОпубликовано - 28 июн 2025
СобытиеComputational Science and Its Applications – ICCSA 2025 Workshops - Istanbul, Турция
Продолжительность: 30 июн 20253 июл 2025

Серия публикаций

НазваниеLecture Notes in Computer Science
Том15894

конференция

конференцияComputational Science and Its Applications – ICCSA 2025 Workshops
Страна/TерриторияТурция
ГородIstanbul
Период30/06/253/07/25

    Предметные области Scopus

  • Компьютерные науки (все)

ID: 138420548