基于数据分类存储的云存储系统节能算法  

Energy-efficient algorithm based on data classification for cloud storage system

作　　者：张陶[1] 廖彬[2] 孙华[3] 李丰军[1] 姬金虎[1] 

机构地区：[1]新疆医科大学医学工程技术学院,乌鲁木齐830011 [2]新疆财经大学统计与信息学院,乌鲁木齐830012 [3]新疆大学软件学院,乌鲁木齐830008

出　　处：《计算机应用》2014年第8期2267-2272,共6页journal of Computer Applications

基　　金：国家自然科学基金资助项目(61262088);新疆大学博士启动基金资助项目(BS120134)

摘　　要：云存储规模的不断扩大以及设计时对能耗因素的忽略使其日益暴露出高能耗低效率的问题,并且此问题已经成为制约云计算与大数据快速发展的一个主要瓶颈。已有研究大多采用将整个存储节点调整到低能耗模式以达到节能的目的。根据数据的重复性及访问规律,设计了基于数据分类的存储模型,将存储区域划分为热数据块区、冷数据块区与重复文件区,根据不同数据的重复性及活动因子特点进行分区存储。围绕新的存储模型,设计了适应节能的数据存储算法并建立了能耗模型。实验结果表明:当系统负载小于设定阈值时,新的存储模型能够提高存储系统25%左右的能耗利用率。Constant expansion and that energy consumption factors are ignored with its design process, bring the problem of high energy consumption and low efficiency of the cloud storage system. And this problem has become a main bottleneck in the development of cloud computing and big data. Most of previous studies had been mostly used to adjust the entire storage node to the low-power mode to save energy. According to the repetition of data and access rules, new storage model based on data classification was proposed. The storage area was divided into HotZone, ColdZone and ReduplicationZone so as to divisionally store the data according to the repetition and activity factor characteristics of each data file. Based on the new storage model, an energy-efficient storage algorithm was designed and a new storage model was constructed. The experimental results show that, the new storage model improves the energy utilization rate of the distributed storage system nearly 25%, especially when the system load is lower than the given threshold.

关 键 词：云存储 MAPREDUCE 数据分类 节能算法 存储模型 

分 类 号：TP393.09[自动化与计算机技术—计算机应用技术] TP274[自动化与计算机技术—计算机科学与技术]