NDLI: Crowdsourcing ISP characterization to the network edge

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Crowdsourcing ISP characterization to the network edge

Crowdsourcing ISP characterization to the network edge

Content Provider	ACM Digital Library
Author	Choffnes, David R. Sánchez, Mario A. Otto, John S. Bustamante, Fabián E. Rula, John P. Bischof, Zachary S.
Abstract	Evaluating and characterizing Internet Service Providers (ISPs) is critical to subscribers shopping for alternative ISPs, companies providing reliable Internet services, and governments surveying the coverage of broadband services to its citizens. Ideally, ISP characterization should be done at scale, continuously, and from end users. While there has been significant progress toward this end, current approaches exhibit apparently unavoidable tradeoffs between coverage, continuous monitoring and capturing user-perceived performance. In this paper, we argue that network-intensive applications running on end systems avoid these tradeoffs, thereby offering an ideal platform for ISP characterization. Based on data collected from 500,000 peer-to-peer BitTorrent users across 3,150 networks, together with the reported results from the U.K. Ofcom/SamKnows studies, we show the feasibility of this approach to characterize the service that subscribers can expect from a particular ISP. We discuss remaining research challenges and design requirements for a solution that enables efficient and accurate ISP characterization at an Internet scale.
Starting Page	61
Ending Page	66
Page Count	6
File Format	PDF
ISBN	9781450308007
DOI	10.1145/2018602.2018617
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2011-08-19
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Characterization Isp Broadband access networks
Content Type	Text
Resource Type	Article

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