Python tool for behavioral studies of the IP Pools in the BRAS

Resumen

The deployment of postpaid services at interoperable hotel Wi-Fi sites nationwide—allowing up to three devices per account—alongside expanded coverage and higher occupancy, has increased IP address utilization. Consequently, the Telecommunications Company of Cuba S. A., ETECSA has experienced an increase in terms of requests for IP address ranges at these sites, currently allocated via empirical calculations based on estimated guest numbers and service usage. The absence of tools providing accurate IP address usage statistics hinders behavioral studies to determine optimal pool sizing. This may cause service disruption and dissatisfaction for both customers experience address exhaustion, while ETECSA faces inefficient network resource allocation. To address this, a Python-based utility was developed to collect data for behavioral analysis. This tool was developed so as to solve the this problem. This paper describes the work performed and the results obtained with this tool, contributing to our Company enhancing tourism-sector service delivery and optimizing network resource efficiency.