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.
Original languageEnglish
Title of host publicationComputational Science and Its Applications – ICCSA 2025 Workshops. ICCSA 2025. Lecture Notes in Computer Science
PublisherSpringer Nature
Pages309–324
Number of pages16
ISBN (Electronic)978-3-031-97648-3
ISBN (Print)978-3-031-97647-6
DOIs
StatePublished - 28 Jun 2025
EventComputational Science and Its Applications – ICCSA 2025 Workshops - Istanbul, Turkey
Duration: 30 Jun 20253 Jul 2025

Publication series

NameLecture Notes in Computer Science
Volume15894

Conference

ConferenceComputational Science and Its Applications – ICCSA 2025 Workshops
Country/TerritoryTurkey
CityIstanbul
Period30/06/253/07/25

    Scopus subject areas

  • Computer Science(all)

    Research areas

  • Distributed computing, Event and pattern recognition, Event visualization, Fog computing, Intelligent assistant, Intelligent subway video surveillance system, Window system creation

ID: 138420548