Understanding Internet Video Sharing Site Workload: A View from Data Center Design
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.
Measurement Data Center Design Online Video Workload Management Capacity Planning SLA Queueing Model
Xiaozhu Kang Hui Zhang Guofei Jiang Haifeng Chen Xiaoqiao Meng Kenji Yoshihira
Columbia University NEC Laboratories America
国际会议
第十七届国际万维网大会(the 17th International World Wide Web Conference)(WWW08)
北京
英文
2008-04-21（万方平台首次上网日期，不代表论文的发表时间）