Abstract: Streaming media storage systems have encountered serious challenges due to the rapid accumulation of the data volume. Howerer,thc researches on saving energy specially for streaming media applications arc few. First of all,based on detailedly modeling the energy conservation problem in streaming media storage systems,we analyzed data layout's impacts on energy saving and duality of service (QoS) quantificationally. It was found that cold data has the most contribution to energy saving, and has the least negative impact on QoS. Secondly, a new energy saving algorithm called cold data concentration (CDC) was proposed, which puts the coldest data on part of the disks to optimize the energy saving effects. Finally, simulations validate that CI}C saves much more energy than traditional energy saving methods with the guarantee of QoS.

Key words: Energy saving,Cold data,Streaming media,Ureen computing