Adeyemi Oluwaseun J, Popoola Segun I, Atayero Aderemi A, Afolayan David G, Ariyo Mobolaji, Adetiba Emmanuel
Center for Systems and Information Services, Covenant University, Ota, Nigeria.
Department of Electrical and Information Engineering, Covenant University, Ota, Nigeria.
Data Brief. 2018 Jul 27;20:30-52. doi: 10.1016/j.dib.2018.07.039. eCollection 2018 Oct.
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.
在本数据文章中，对一所智能大学校园连续12个月（2017年1月至12月）产生的每日互联网数据流量进行了全面的数据探索。在为期一年的研究期间，尼日利亚考文垂大学的互联网数据下载流量和互联网数据上传流量每天都使用所需的应用软件进行监测和妥善记录，这些软件分别是：FreeRADIUS；Radius Manager Web应用程序；以及Mikrotik热点管理器。本文提供了一个包含详细信息的综合数据集作为补充材料，以便于研究使用和验证。每个月的每日互联网数据下载流量和每日互联网数据上传流量的描述性统计数据都列在表格中。提供了箱线图表示和时间序列图，以显示整个12个月期间智能校园内数据下载和上传流量的趋势。数据集的频率分布用直方图表示。此外，还进行了相关性和回归分析，并使用散点图展示结果。还计算了数据集的概率密度函数（PDF）和累积分布函数（CDF）。此外，进行了方差分析（ANOVA）和多个事后检验，以了解12个月期间互联网流量是否存在统计差异。本文提供的全面数据探索将帮助智能校园中的互联网服务提供商（ISP）和网络管理员开发用于优化服务质量（QoS）、互联网流量预测和预算的实证模型。
