%0 Journal Article
%T Cold Data Concentration:Energy Saving Method for Streaming Media Storage Systems<br>冷数据集中的流媒体存储系统节能方法
%A CHAI Yun-peng
%A YANG Nan
%A <br>柴云鹏
%A 杨 楠
%J 计算机科学
%D 2012
%I 
%X 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.
%K Energy saving
%K Cold data
%K Streaming media
%K Ureen computing<br>节能
%K 冷数据
%K 流媒体
%K 绿色计算
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=A97816070393C0265AA7F6CBCEF88C9B&yid=99E9153A83D4CB11&vid=7C3A4C1EE6A45749&iid=F3090AE9B60B7ED1&sid=856C2E13D1000DB7&eid=E08DF41EF0922A99&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=0