Characterizing Internet Access and Quality Inequities in California M-Lab Measurements

Characterizing Internet Access and Quality Inequities in California M-Lab Measurements
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加州 M-Lab 测量中互联网接入和质量不平等的特征

DOI:
10.1145/3530190.3534813
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发表时间:
2022
期刊:
ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies (COMPASS
影响因子:
--
通讯作者:
Belding, Elizabeth
Belding, Elizabeth
中科院分区:
--
文献类型:
--
作者:
Paul, Udit;Liu, Jiamo;Farias-llerenas, David;Adarsh, Vivek;Gupta, Arpit;Belding, Elizabeth

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有据可查,在美国,因特网接入的可用性与若干人口统计属性有关。通过最终用户网络诊断工具收集的数据,如测量实验室(M-Lab)速度测试提供的数据,可以通过探索互联网接入质量(而不仅仅是可用性)与平台用户人口统计属性之间的关系来扩展先前的工作。在这项研究中,我们使用网络测量收集的用户的速度测试由M-Lab和人口统计数据来表征服务质量(QoS)度量下载速度之间的关系,和各种关键的人口统计属性,如收入,教育水平和贫困。为简洁起见,我们将重点限制在加州州。对于M-Lab速度测试的用户,我们的研究有以下主要结论:(1)地理类型(城市/农村)和收入水平与下载速度的关系最为显著;(2)农村地区的平均下载速度比城市地区低2.5倍;(3)COVID-19大流行对不同人口特征的下载速度产生了不同的影响;以及(4)与通过速度测试记录的相比,美国联邦通信委员会(FCC)的宽带速度数据显著地过度代表了农村和低收入社区的下载速度。
It is well documented that, in the United States (U.S.), the availability of Internet access is related to several demographic attributes. Data collected through end user network diagnostic tools, such as the one provided by the Measurement Lab (M-Lab) Speed Test, allows the extension of prior work by exploring the relationship between the quality, as opposed to only the availability, of Internet access and demographic attributes of users of the platform. In this study, we use network measurements collected from the users of Speed Test by M-Lab and demographic data to characterize the relationship between the quality-of-service (QoS) metric download speed, and various critical demographic attributes, such as income, education level, and poverty. For brevity, we limit our focus to the state of California. For users of the M-Lab Speed Test, our study has the following key takeaways: (1) geographic type (urban/rural) and income level in an area have the most significant relationship to download speed; (2) average download speed in rural areas is 2.5 times lower than urban areas; (3) the COVID-19 pandemic had a varied impact on download speeds for different demographic attributes; and (4) the U.S. Federal Communication Commission’s (FCC’s) broadband speed data significantly over-represents the download speed for rural and low-income communities compared to what is recorded through Speed Test.
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