Measurement lab: overview and an invitation to the research community
ACM SIGCOMM Computer Communication Review
An experimental evaluation of rate-adaptation algorithms in adaptive streaming over HTTP
MMSys '11 Proceedings of the second annual ACM conference on Multimedia systems
Rate adaptation for adaptive HTTP streaming
MMSys '11 Proceedings of the second annual ACM conference on Multimedia systems
An evaluation of dynamic adaptive streaming over HTTP in vehicular environments
Proceedings of the 4th Workshop on Mobile Video
Dynamic adaptive streaming over HTTP dataset
Proceedings of the 3rd Multimedia Systems Conference
ISCC '11 Proceedings of the 2011 IEEE Symposium on Computers and Communications
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The popularity of DASH streaming is rapidly increasing and a number of commercial streaming services are adopting this new standard. While the benefits of building streaming services on top of the HTTP protocol are clear, further work is still necessary to evaluate and enhance the system performance from the perspective of the end user. Here we present a novel framework 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.