Exploration of daily Internet data traffic generated in a smart university campus
| Autor: | Aderemi A. Atayero, Segun I. Popoola, Emmanuel Adetiba, Mobolaji Ariyo, Oluwaseun J. Adeyemi, David G. Afolayan |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Nigerian university
Computer science 02 engineering and technology computer.software_genre lcsh:Computer applications to medicine. Medical informatics law.invention Upload law Internet Protocol 0202 electrical engineering electronic engineering information engineering lcsh:Science (General) Smart campus Internet data traffic Multidisciplinary Database Descriptive statistics business.industry Quality of service 020206 networking & telecommunications Internet traffic Hotspot (Wi-Fi) Scatter plot Smart education lcsh:R858-859.7 020201 artificial intelligence & image processing The Internet Earth and Planetary Science business computer lcsh:Q1-390 |
| Zdroj: | Data in Brief Data in Brief, Vol 20, Iss, Pp 30-52 (2018) |
| ISSN: | 2352-3409 |
| Popis: | In this data article, a robust data exploration is performed on daily Internet data traffic generated in a smart university campus for a period of twelve consecutive (12) months (January–December, 2017). For each day of the one-year study period, Internet data download traffic and Internet data upload traffic at Covenant University, Nigeria were monitored and properly logged using required application software namely: FreeRADIUS; Radius Manager Web application; and Mikrotik Hotspot Manager. A comprehensive dataset with detailed information is provided as supplementary material to this data article for easy research utility and validation. For each month, descriptive statistics of daily Internet data download traffic and daily Internet data upload traffic are presented in tables. Boxplot representations and time series plots are provided to show the trends of data download and upload traffic volume within the smart campus throughout the 12-month period. Frequency distributions of the dataset are illustrated using histograms. In addition, correlation and regression analyses are performed and the results are presented using a scatter plot. Probability Density Functions (PDFs) and Cumulative Distribution Functions (CDFs) of the dataset are also computed. Furthermore, Analysis of Variance (ANOVA) and multiple post-hoc tests are conducted to understand the statistical difference(s) in the Internet traffic volume, if any, across the 12-month period. The robust data exploration provided in this data article will help Internet Service Providers (ISPs) and network administrators in smart campuses to develop empirical model for optimal Quality of Service (QoS), Internet traffic forecasting, and budgeting. Keywords: Smart campus, Internet Protocol, Internet data traffic, Nigerian university, Smart education |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|