International Journal of Computer Vision
Partitioning Customers Into Service Groups
Management Science
Measuring the capacity of a streaming media server in a Utility Data Center environment
Proceedings of the tenth ACM international conference on Multimedia
Resilient workload manager: taming bursty workload of scaling internet applications
ICAC-INDST '09 Proceedings of the 6th international conference industry session on Autonomic computing and communications industry session
Buffer management mechanism suitable for TCP streaming in QoS-aware IP router
CCNC'10 Proceedings of the 7th IEEE conference on Consumer communications and networking conference
SLA-tree: a framework for efficiently supporting SLA-based decisions in cloud computing
Proceedings of the 14th International Conference on Extending Database Technology
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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 including file duration and popularity distributions, arrival rate dynamics and predictability, and workload stationarity and burstiness. Complemented with queueing-theoretic techniques, we further extended our understanding on the measurement data with a virtual design on the workload and capacity management components of a data center assuming the same workload as measured, which reveals key results regarding the impact of Service Level Agreements (SLAs) and workload scheduling schemes on the design and operations of such large-scale video distribution systems.