Anatomizing application performance differences on smartphones
Proceedings of the 8th international conference on Mobile systems, applications, and services
CODES/ISSS '10 Proceedings of the eighth IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
Atheris: A First Step Towards a Uni?ed Peer-to-Peer Traf?c Measurement Framework
PDP '11 Proceedings of the 2011 19th International Euromicro Conference on Parallel, Distributed and Network-Based Processing
A measurement study of resource utilization in internet mobile streaming
Proceedings of the 21st international workshop on Network and operating systems support for digital audio and video
YouTube everywhere: impact of device and infrastructure synergies on user experience
Proceedings of the 2011 ACM SIGCOMM conference on Internet measurement conference
MM '11 Proceedings of the 19th ACM international conference on Multimedia
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The proliferation of smart devices for mobile networks is a major traffic generator nowadays. These devices provide the ability to receive media content in nearly every situation. Despite that video streaming in high quality is getting more and more popular in mobile scenarios, the performance and bottlenecks of mobile applications over wireless networks, especially, during the transmission of media streams, are poorly understood yet. In order to tackle this new challenge, we present an Android based framework to capture the relevant wireless network behavior, geo-coordinates and packet traces for popular streaming applications on Android certified devices. A dataset has been obtained by measurement trials, which have been performed in a 3G network for both HTTP and peer-to-peer video streaming applications. The trials comprise also an additional WiFi measurement for comparison purposes. The presented dataset enables future research to determine the quality of service and network characteristics of different streaming methodologies, which are affected by the typical conditions encountered in wireless networks, like hand-over effects, signal fading, connection losses etc. We hope that both, the presented dataset and the framework, may prove to be useful for the traffic measurement and the multimedia research communities.