This data set provides data, which collected by a DASH module built on top of Neubot, an open source tool for the collection of network measurements. A novel framework is used to evaluate the performance of rate-adaptation algorithms for DASH streaming using network measurements collected from more than a thousand Internet clients. Data, which have been made publicly available, are collected by a DASH module built on top of Neubot, an open source tool for the collection of network measurements. Some examples about the possible usage of the collected data are given, ranging from simple analysis and performance comparisons of download speeds to the performance simulation of alternative adaptation strategies using, e.g., the instantaneous available bandwidth values.
The files are available for download via HTTP. Link: http://traces.cs.umass.edu/index.php/Mmsys/Mmsys The files are available in one archive (700MB) for download via HTTP: Link: http://skuld.cs.umass.edu/traces/mmsys/2014/user02.tar
References and Citation
Use of the datasets in published work should be acknowledged by a full citation to the authors' papers [BSM14] at the MMSys conference (Proceedings of ACM MMSys 2014, March 19 - March 21, 2014, Singapore, Singapore).
BSM14: S. Basso, A. Servetti, E. Masala, J. C. De Martin, Measuring DASH streaming performance from the end users perspective using neubot, Proceedings of ACM MMSys 2014, March 19 - March 21, 2014, Singapore, Singapore.