Researching solutions and modernizing home server infrastructure.

Keywords: home server, Windows 10, Xubuntu, Raspberry Pi OS, Samba, MiniDLNA, Minecraft Server, Serviio, media streaming, file storage, game server.

Abstract

The article considers the possibilities of building and optimizing a home server infrastructure using various hardware and software solutions. A comparative study of three server configurations based on the Windows 10, Xubuntu and Raspberry Pi OS operating systems was conducted. To ensure the main functions of the server, media streaming, game server and file storage were implemented. The Samba (file storage), MiniDLNA (media streaming) and Minecraft Server (game server) services were used on the Xubuntu platform. A similar set of services adapted to the ARM architecture was used on the Raspberry Pi OS. The configuration on Windows 10 was implemented using Serviio (media streaming), sharing (file storage) and Minecraft Server (game server). Each of the configurations was tested in three operating modes: idle, at average and maximum load. For each mode, the load on the processor and RAM, power consumption, startup and boot time, temperature and network connection speed were measured. The measurement results were systematized and analyzed to determine the most effective solution for building a home server, taking into account energy efficiency, stability and system performance. The results obtained can be used to select the optimal configuration of server hardware and software when developing and upgrading home server systems.

References

1. Висоцький В. Домашній мультимедійний сервер на базі Raspberry PI / Тернопільський національний технічний університет імені Івана Пулюя. URL.
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5. Setting up a Java Edition server. minecraft.wiki. URL.

Abstract views: 14
PDF Downloads: 7
Published
2025-09-19
How to Cite
Bahniuk , N., Bortnyk , K., Kaidyk , O., & Sliusar М. (2025). Researching solutions and modernizing home server infrastructure. COMPUTER-INTEGRATED TECHNOLOGIES: EDUCATION, SCIENCE, PRODUCTION, (60), 70-77. https://doi.org/10.36910/6775-2524-0560-2025-60-07
Section
Computer science and computer engineering