Each at its Own Pace: Third-Party Dependency and Centralization Around the World

Rashna Kumar, Sana Asif, Elise Lee, F. Bustamante
{"title":"Each at its Own Pace: Third-Party Dependency and Centralization Around the World","authors":"Rashna Kumar, Sana Asif, Elise Lee, F. Bustamante","doi":"10.1145/3579437","DOIUrl":null,"url":null,"abstract":"We describe the results of a large-scale study of third-party dependencies around the world based on regional top-500 popular websites accessed from vantage points in 50 countries, together covering all inhabited continents. This broad perspective shows that dependencies on a third-party DNS, CDN or CA provider vary widely around the world, ranging from 19% to as much as 76% of websites, across all countries. The critical dependencies of websites -- where the site depends on a single third-party provider -- are equally spread ranging from 5% to 60% (CDN in Costa Rica and DNS in China, respectively). Interestingly, despite this high variability, our results suggest a highly concentrated market of third-party providers: three providers across all countries serve an average of 92% and Google, by itself, serves an average of 70% of the surveyed websites. Even more concerning, these differences persist a year later with increasing dependencies, particularly for DNS and CDNs. We briefly explore various factors that may help explain the differences and similarities in degrees of third-party dependency across countries, including economic conditions, Internet development, economic trading partners, categories, home countries, and traffic skewness of the country's top-500 sites.","PeriodicalId":426760,"journal":{"name":"Proceedings of the ACM on Measurement and Analysis of Computing Systems","volume":"201 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the ACM on Measurement and Analysis of Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3579437","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

We describe the results of a large-scale study of third-party dependencies around the world based on regional top-500 popular websites accessed from vantage points in 50 countries, together covering all inhabited continents. This broad perspective shows that dependencies on a third-party DNS, CDN or CA provider vary widely around the world, ranging from 19% to as much as 76% of websites, across all countries. The critical dependencies of websites -- where the site depends on a single third-party provider -- are equally spread ranging from 5% to 60% (CDN in Costa Rica and DNS in China, respectively). Interestingly, despite this high variability, our results suggest a highly concentrated market of third-party providers: three providers across all countries serve an average of 92% and Google, by itself, serves an average of 70% of the surveyed websites. Even more concerning, these differences persist a year later with increasing dependencies, particularly for DNS and CDNs. We briefly explore various factors that may help explain the differences and similarities in degrees of third-party dependency across countries, including economic conditions, Internet development, economic trading partners, categories, home countries, and traffic skewness of the country's top-500 sites.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
各有各的步调:世界各地的第三方依赖和集中化
我们描述了一项大规模的第三方依赖性研究的结果,该研究基于从50个国家的有利位置访问的区域500强热门网站,总共覆盖了所有有人居住的大陆。从广泛的角度来看,对第三方DNS、CDN或CA提供商的依赖程度在世界各地差异很大,从19%到76%的网站,在所有国家。网站的关键依赖关系——网站依赖于单一的第三方提供商——平均分布在5%到60%之间(哥斯达黎加的CDN和中国的DNS分别为5%到60%)。有趣的是,尽管存在如此高的可变性,但我们的结果表明第三方提供商的市场高度集中:所有国家的三家提供商平均服务92%,b谷歌本身平均服务70%的被调查网站。更令人担忧的是,这些差异会在一年后持续存在,依赖性也会增加,特别是对于DNS和cdn。我们简要探讨了各种因素,这些因素可能有助于解释各国对第三方依赖程度的差异和相似之处,包括经济条件、互联网发展、经济贸易伙伴、类别、母国和该国前500强网站的流量偏差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
3.20
自引率
0.00%
发文量
0
期刊最新文献
A Large Scale Study and Classification of VirusTotal Reports on Phishing and Malware URLs POMACS V7, N2, June 2023 Editorial SplitRPC: A {Control + Data} Path Splitting RPC Stack for ML Inference Serving Smash: Flexible, Fast, and Resource-efficient Placement and Lookup of Distributed Storage Towards Accelerating Data Intensive Application's Shuffle Process Using SmartNICs
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1