Open-Source Digital Infrastructure Capacity Prediction System for Production Company

P. 915–920.

Panfilov P., Suleykin A., ElDarawany A., Elpashev D.

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.

Keywords: big data analytics, digital ecosystem, predictive models, infrastructure capacity prediction, associative search

In book

2021 3rd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA)

IEEE, 2021.