Análisis de algoritmos balanceadores de carga utilizando máquinas virtuales para la optimización de tiempo y recursos en servidores web.

Abstract

mall companies in Ecuador that use web servers often face difficulties in efficiently managing time and resources. These difficulties negatively impact the company's performance as well as the quality of service provided to customers. Thus, it is proposed to conduct a comparative analysis of different load balancing algorithms that allow the distribution of requests among virtual machines according to various parameters. The primary objective of this project is to determine which algorithm offers the best performance in optimizing time and resources. The methodology used to achieve this objective consists of three stages. Firstly, a detailed bibliographic review of load balancing algorithms is conducted to select the most suitable algorithms for the study. Secondly, an experimental scenario is designed and implemented using web servers and virtual machines, allowing for the measurement and analysis of the obtained results. Finally, the performance of the selected algorithms is compared, and the algorithm that performs the best is identified. The project aims to identify the primary challenges faced by small companies regarding the management of time and resources on their web servers that employ virtual machines. The analysis also strives to compare the performance of different load balancing algorithms to determine the most efficient one for optimizing time and resources on such web servers.