Application of methods for optimizing routing and caching data in educational content delivery networks based on domestic software
Alexey Prokurovsky · Informatics and Education · 2025
The article explores modern approaches to optimizing routing and data caching in content delivery networks (CDNs) for educational systems using domestic software, specifically 1C:Enterprise Service Bus (1C:ESB). The focus is on addressing the challenge of increased network load due to the growing number of users accessing distance learning platforms. A routing algorithm inspired by ant colony behavior is proposed, enabling dynamic adaptation of content delivery paths based on current network conditions. Experimental results demonstrate a reduction in content delivery time by up to 25 % compared to traditional static routing methods. In addition, the article presents a developed caching method based on fuzzy logic, which effectively accounts for uncertainty and variability in user demand. Digital content is classified according to popularity levels, and caching decisions are made based on this classification. The experimental evaluation shows that this method can improve CDN performance by up to 30 %, while also reducing excessive load on network nodes. The obtained results confirm the effectiveness of the proposed solutions and their applicability to the development of high-performance, scalable, and intelligent content delivery systems under real-world conditions. The use of domestically developed software ensures technological sovereignty and better alignment with the specific needs of the educational infrastructure.