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As the popularity of video streaming over the Internet grows, energy consumption in video server environments which store and retrieve video data increases as well. Previous work has shown that video quality delivered to clients can be scaled in order to serve more concurrent video requests and/or reduce energy consumption of server disks. We propose a data placement strategy for such quality scaling methods which distributes video data within a disk based on its priority/importance. Results show that in doing so the disk can retrieve data with greater efficiency and serve lower quality video to more clients than previously investigated strategies.