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The authors believe that the most effective way to detect service-level events is by monitoring the end systems where the services are used. This paper describes an implementation of this approach for BitTorrent called NEWS (Network Early Warning System), a system that provides real-time detection of network events impacting the user experience for peer-to-peer file sharing. They use probability theory, extensive network traces from users and ground-truth information from ISPs to design and build a system that detects network problems effectively, quickly and reliably. They also discuss several key features of its current implementation for BitTorrent, called the Network Early Warning System (NEWS), which has been installed more than 30,000 times.
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