Subscribers’ Traffic Internet Bandwidth Usage Capture and Classification Using Android Platform

Autor:	E. E. Ekong, Adeyinka A. Adewale, Hilary Kelechi Anabi, Abidemi Orimogunje, Osemwegie Omoruyi, A. Ben-Obaje
Rok vydání:	2019
Předmět:	History business.industry Computer science Schematic Cloud computing Internet traffic Computer Science Applications Education Bandwidth utilization Internet network The Internet Android application Android (operating system) business Computer network
Zdroj:	Journal of Physics: Conference Series. 1378:042096
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/1378/4/042096
Popis:	With the rise in smart devices communicating on internet, there is a huge demand in the delivery of internet bandwidth to fulfil subscribers’ aspirations. It is therefore important for internet network providers to understand the subscribers’ behavioural pattern in terms of internet bandwidth usage so as to meet up with the continuous rise in its demand. This research introduces the schematics of an android application effectively communicating with a remote database; Firebase cloud service. The classification of the subscribers’ internet traffic bandwidth consumption enables the android application to generate dataset of bandwidth utilization patterns of volunteered subscribers’ device which are grouped into 4 classes; A, B, C and D representing very high, high, medium and low data usage respectively. The collection of internet bandwidth usage of subscribers was recorded at intervals of every hour into the remote database in Firebase cloud.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::58605cf3c597d9c3beb9bcd31dd49983 https://doi.org/10.1088/1742-6596/1378/4/042096 Zobrazit plný text záznamu