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Trends and patterns of broadband Internet access speed in a Nigerian university campus: A robust data exploration

机译:尼日利亚大学校园中宽带互联网访问速度的趋势和模式:可靠的数据探索

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摘要

Efficient broadband Internet access is required for optimal productivity in smart campuses. Besides access to broadband Internet, delivery of high speed and good Quality of Service (QoS) are pivotal to achieving a sustainable development in the area of education. In this data article, trends and patterns of the speed of broadband Internet provided in a Nigerian private university campus are largely explored. Data transmission speed and data reception speed were monitored and recorded on daily basis at Covenant University, Nigeria for a period of twelve months (January–December, 2017). The continuous data collection and logging were performed at the Network Operating Center (NOC) of the university using SolarWinds Orion software. Descriptive statistics, correlation and regression analyses, Probability Density Functions (PDFs), Cumulative Distribution Functions (CDFs), Analysis of Variance (ANOVA) test, and multiple comparison post-hoc test are performed using MATLAB 2016a. Extensive statistical visualizations of the results obtained are presented in tables, graphs, and plots. Availability of these data will help network administrators to determine optimal network latency towards efficient deployment of high-speed broadband communication networks in smart campuses.
机译:为了在智能园区中实现最佳生产力,需要有效的宽带Internet访问。除了访问宽带互联网之外,提供高速和良好的服务质量(QoS)对于实现教育领域的可持续发展至关重要。在此数据文章中,对尼日利亚私立大学校园中提供的宽带Internet速度的趋势和模式进行了广泛探索。每天在尼日利亚的圣约大学监控并记录数据传输速度和数据接收速度,为期十二个月(2017年1月至12月)。使用SolarWinds Orion软件在大学的网络运营中心(NOC)进行连续的数据收集和记录。使用MATLAB 2016a执行描述性统计,相关和回归分析,概率密度函数(PDF),累积分布函数(CDF),方差分析(ANOVA)检验和多重比较事后检验。表格,图表和曲线图显示了获得的结果的广泛统计可视化结果。这些数据的可用性将帮助网络管理员确定最佳的网络延迟,以便在智能园区中高效部署高速宽带通信网络。

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