67941

Автор(ы): 

Автор(ов): 

4

Параметры публикации

Тип публикации: 

Доклад

Название: 

Open-Source Digital Infrastructure Capacity Prediction System for Production Company

ISBN/ISSN: 

978-1-6654-3981-7

DOI: 

10.1109/SUMMA53307.2021.9632166

Наименование конференции: 

  • 3nd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA2021, Lipetsk)

Наименование источника: 

  • Proceedings of the 3nd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA2021, Lipetsk)

Город: 

  • Липецк

Издательство: 

  • IEEE

Год издания: 

2021

Страницы: 

https://ieeexplore.ieee.org/document/9632166
Аннотация
We propose a system for prediction infrastructure capacity and metrics using Open-Source Big Data technologies. The proposed system is being built as a Digital Ecosystem comprised of various Services, which are needed for the prediction of Digital Infrastructure Capacity of a production company. Various techniques for the development of a digital ecosystem, such as integration, processing, prediction and visualization of server metrics are considered to provide prediction data from production companies. In our study, we review literature for Digital Infrastructure Capacity predictions, provide functional and component architecture of the proposed system, describe the methods and techniques for the development of prediction models, and finally implement the prototype system based on real server metrics data collected from a real-world production company. The forecasts visualizations for predicted server metrics are presented.

Библиографическая ссылка: 

Сулейкин А.С., Елпашев Д.В., Ahmed ElDarawany -., Панфилов П. Open-Source Digital Infrastructure Capacity Prediction System for Production Company / Proceedings of the 3nd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA2021, Lipetsk). Липецк: IEEE, 2021. С. https://ieeexplore.ieee.org/document/9632166.