In this paper, we present the measurement study of a large Internet video sharing site - Yahoo! Video. With a clear goal to facilitate the data center design, this paper gives a comprehensive workload characterization and proposes a set of guidelines for workload and capacity management in a large-scale video distribution system. The immediate work for next step is expanding the measurement to cover larger portion of the workload on Yahoo! Video.