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Crowdsourcing mobile user's network performance has become an effective wayof understanding and improving mobile network performance and userquality-of-experience. However, the current measurement method is still basedon the landline measurement paradigm in which a measurement app measures thepath to fixed (measurement or web) servers. In this work, we introduce a newparadigm of measuring per-app mobile network performance. We design andimplement MopEye, an Android app to measure network round-trip delay for eachapp whenever there is app traffic. This opportunistic measurement can beconducted automatically without users intervention. Therefore, it canfacilitate a large-scale and long-term crowdsourcing of mobile networkperformance. In the course of implementing MopEye, we have overcome a suite ofchallenges to make the continuous latency monitoring lightweight and accurate.We have deployed MopEye to Google Play for an IRB-approved crowdsourcing studyin a period of ten months, which obtains over five million measurements from6,266 Android apps on 2,351 smartphones. The analysis reveals a number of newfindings on the per-app network performance and mobile DNS performance.

MopEye: Opportunistic Monitoring of Per-app Mobile Network Performance