N.A. Borsuk1, T.A. Onufrieva2, A.V. Maximov3

1−3 Kaluga Branch of Bauman Moscow State Technical University (Kaluga, Russia)

1 borsuk.65@yandex.ru, 2 onufrievata@bmstu.ru, 3 av_maximov@bk.ru

The article is devoted to solving urgent problems of improving the performance of user interfaces in high-load applications that arise in the process of digitalization and working with big data, in particular, within the framework of the Digital Twin of the City project. Two key problems have been identified: a significant delay in the initial rendering of tables with a large amount of data and an excessive number of server requests when processing user events, such as keyboard input. These issues lead to a worse user experience and lower overall system performance. The aim of the work is to research and apply optimization methods to eliminate identified problems and increase the responsiveness of the interface. The study analyzed various approaches to big data visualization, such as infinite scrolling, pagination, and virtual scrolling. Techniques for efficient processing of input events are also considered.

As a result of the work, it was shown that the use of virtual scrolling technology is the most effective method for optimizing the rendering of large tables, reducing the visualization time from a few seconds to tens of milliseconds. To solve the problem of multiple requests to the server during data entry, the Debounce technique was successfully implemented and applied, which significantly reduced the volume of network traffic and eliminated input delays. The practical significance of the results lies in the possibility of significantly improving the productivity and comfort of user interaction with information systems that process large amounts of data. The solutions obtained have a wide range of applications, primarily in urban infrastructure digitalization projects and other highly loaded web applications, where interface responsiveness and network resource efficiency are critically important. The implementation of the proposed methods ensures smoother operation and improves the overall perception of the system by users.

Borsuk N.A., Onufrieva T.A., Maximov A.V. Performance improvement in big data processing. Information-measuring and Control Systems. 2026. V. 24. № 2. P. 42−51. DOI: https://doi.org/10.18127/j20700814-202602-06 (in Russian)

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