Characterizing traffic flows originating from large-scale video sharing services
TMA'10 Proceedings of the Second international conference on Traffic Monitoring and Analysis
Methodologies for generating HTTP streaming video workloads to evaluate web server performance
Proceedings of the 5th Annual International Systems and Storage Conference
Program popularity and viewer behaviour in a large TV-on-demand system
Proceedings of the 2012 ACM conference on Internet measurement conference
Adaptive scheduling for parallel tasks with QoS satisfaction for hybrid cloud environments
The Journal of Supercomputing
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In this paper we measured and analyzed the workload on Yahoo! Video, the 2nd largest U.S. video sharing site, to understand its nature and the impact on online video data center design. We discovered interesting statistical properties on both static and temporal dimensions of the workload; they include file duration and popularity distributions, arrival rate dynamics and predictability, and workload stationarity and burstiness. Complemented with queueing-theoretic techniques, we extended our understanding on the measurement data with a virtual data center design assuming the same workload as measured, which reveals results regarding the impact of workload arrival distribution, Service Level Agreements (SLAs) and workload scheduling schemes on the design and operations of such large-scale video distribution systems.