75145

Автор(ы): 

Сомов С. К. (ИПУ РАН, Лаборатория 20)

Автор(ов): 

1

Параметры публикации

Тип публикации: 

Доклад

Название: 

Methods for Reducing the Computational Complexity of Problems of Optimizing Data Allocation in Distributed Systems

ISBN/ISSN: 

979-8-3503-3790-7

DOI: 

10.1109/MLSD58227.2023.10303820

Наименование конференции: 

  • 2023 16th International Conference Management of large-scale system development (MLSD)

Наименование источника: 

  • Proceedings of the 16th International Conference Management of Large-Scale System Development (MLSD)

Город: 

  • Москва

Издательство: 

  • IEEE

Год издания: 

2023

Страницы: 

1-5 https://ieeexplore.ieee.org/document/10303820
Аннотация
An effective method of increasing the reliability of distributed data processing systems is using an operational reserve from copies of data arrays located in the nodes of the system. Problems of finding the optimal placement of the reserve in the system nodes have a high computational complexity. This article presents several methods for reducing the complexity of the tasks under consideration

Библиографическая ссылка: 

Сомов С.К. Methods for Reducing the Computational Complexity of Problems of Optimizing Data Allocation in Distributed Systems / Proceedings of the 16th International Conference Management of Large-Scale System Development (MLSD). М.: IEEE, 2023. С. 1-5 https://ieeexplore.ieee.org/document/10303820 .