Research on the optimization model for building an efficient IT infrastructure using the AWS platform

Abstract

The analysis of IT infrastructure processes has shown that their manual execution without automation can be time-consuming and labor-intensive, as well as increases the risk of errors. Designing an IT infrastructure using Amazon Web Services (AWS) allows to identify the required resources and components for building an efficient infrastructure. Therefore, this study aims to improve the processes of building and managing IT infrastructure by automating them using the AWS platform. Hence, in this paper we propose a mathematical model to determine the IT infrastructure desired configuration. The proposed model assumes solving a linear programming problem with integer constraints on the optimization variables. The Branch-and-Bound algorithm is used to study the proposed mathematical model, by considering different AWS server input data and defining optimal IT infrastructure configurations.