База данных: Каталог библиотеки СФУ
Библиографическое описание: Decision support system for the load distribution on a computer network / O. A. Antamoshkin [et al.]. - Текст : непосредственный // J. Phys. Conf. Ser. : IOP Publishing Ltd, 2021. - Vol. 2032, Is. 1. - Ст. 12123. - P. 12123. - ISBN ISSN 17426588, DOI 10.1088/1742-6596/2032/1/012123. Скопировать
Аннотация: Controlling the quality and speed of data transmission is an urgent and practically significant task in the field of information technology. Despite the fact that the computing power of software systems and the bandwidth of networks are increasing every year, at the same time, the volumes of processed, transmitted and stored information are growing. Therefore, difficulties continue to arise in processing the required amount of data, which significantly increases the time to work with them and reduces the quality of the work done. This problem is especially acute in an environment when it is required to make decisions on the basis of data - in decision support systems. Thus, we are faced with the task of distributing the load over communication channels from overloaded nodes to free nodes in real time. To solve it, the article proposes a mathematical apparatus that allows you to build the necessary computer network. In the course of the study, it was also found that for a more successful solution to the problem posed, a computer network must work with a neural network. Its development and integration into the proposed mathematical apparatus can become the basis for further research. © 2021 Institute of Physics Publishing. All rights reserved.
Год издания: 2021
Издательство: IOP Publishing Ltd
Источник: Journal of Physics: Conference Series
Выпуск: Vol. 2032, Is. 1
Мероприятие: International Conference on IT in Business and Industry, ITBI 2021 (12 May 2021 through 14 May 2021)
Номера страниц: 12123
Держатель оригинала документа: Siberian Federal University, 79, Svobodny pr., Krasnoyarsk, 660041, Russian Federation, Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarsky Rabochy Av., Krasnoyarsk, 660037, Russian Federation, Krasnoyarsk State Agrarian University, 90, Mira Av., Krasnoyarsk, 660049, Russian Federation
Количество экземпляров: Твёрдая копия издания отсутствует в фонде библиотеки
Рубрики: Artificial intelligence,
ISSN: 1742-6588
