Data-driven technique to estimate the required broadband speed for K-12 schools

M. Kamaludeen, Salam Ismaeel, Franca Petrocelli, C. Carrington, C. Scarfo
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引用次数: 6

Abstract

Technology becomes more and more involved in the learning process (specifically blending learning) of K-12 schools. The broadband requirements must be assessed for cost-effective and efficient (a reasonable download wait time) access to the Internet. With the arrival of videoconferencing, collaborative tools besides, social media, the amount of data incoming and outgoing based on students' activities need to be increased to guarantee a smooth access and effective usage of technology in K-12 school environments. In this paper, we present a novel study that analyzes broadband requirements for students and staff (teachers and administrators) in K-12 schools. Our study takes into consideration different types of applications that students and staff use, number of users and their usage behaviors. It presents to decision makers, recommended broadband per devices for a specific application and expected time to wait for downloading these applications.
数据驱动技术估计K-12学校所需的宽带速度
技术越来越多地参与到K-12学校的学习过程中(特别是混合学习)。必须对宽带需求进行评估,以实现对Internet的经济有效(合理的下载等待时间)访问。随着视频会议、协作工具以及社交媒体的到来,需要增加基于学生活动的数据输入和输出量,以保证K-12学校环境中技术的顺利访问和有效使用。在本文中,我们提出了一项新的研究,分析了K-12学校对学生和工作人员(教师和管理人员)的宽带需求。我们的研究考虑了学生和员工使用的不同类型的应用程序,用户数量和他们的使用行为。它向决策者展示了针对特定应用程序的每台设备的推荐宽带以及下载这些应用程序的预期等待时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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