基于混合存储结构的分级协同节能方案

新能源的应用已成为一种趋势,但具体到存储I/O领域,存储设备通常会根据存储负载的强度进行节点调度,而不规则波动的新能源和存储负载之间存在波峰波谷错位匹配的问题,增加了存储设备的调度难度。提出了一种针对NVM-SSD混合存储介质的分级协同节能方案MixSave,为每一层提供定制化节能方案并且协同调度,提升了新能源能效比。基于NVM和SSD存储介质的性能与能耗特点,MixSave采用NVMSSD的高性价比分级存储架构,为用户提供高性能、大容量存储服务,并且通过副本保证数据可靠性。NVM作为缓存层采用负载驱动型方案,以保证性能为优先目标,即根据负载变化动态调整高功耗状态的NVM设备数量,满足负载需求;SSD作为数据层采用新能源驱动型节能方案,以提升新能源利用率为目标,根据新能源的变化动态调整SSD启用数量,进行缓存数据同步与预取。测试表明,与未采取节能措施的标准方案相比,MixSave性能下降不超过4%,在轻负载模式下,MixSave可节省73%~80%的传统能源,在重负载模式下,可节省55%~61%的传统能源。

云计算任务数据节能存储模型仿真

云计算因具有资源利用率高,节约成本的特点,其任务数据存储量较大,已经得以广泛应用。但云计算任务之间的差异性导致数据存储过程能量消耗过大,网络容量占用率偏高。为此,提出差异性云计算任务数据节能式存储算法。通过局部特征分析方法获取差异性云计算下任务数据节能式存储主要特征,采用一对一的分类方式转换为二分类数据,根据分类结果删除冗余数据。在此基础上,分析云计算任务数据的差异性特征,构建任务数据节能式存储模型,完成差异性云计算任务数据节能式存储算法的设计。仿真结果表明,所提算法不仅能够将响应时间控制在80ms之内,系统利用率平均可达89.056%,且研究算法应用下网络剩余能量更高,说明上述算法具有理想的节能效果。

基于Hadoop的遥感影像节能存储策略分析

本文阐述了Hadoop和遥感影像的理论,并对Hadoop储存系统进行了分析,主要研究系统的节能储存模块。遥感技术是当前社会中应用的重要技术,其在应用过程中,能够实现遥感影像的成形对于地理信息的处理有非常重要的作用。而针对遥感影像数据的特点,设计了基于Hadoop技术之上的遥感影像数据储存系统,从而在一定程度上提升了遥感影像数据的储存应用。

面向纠删码存储集群的弹性I/O调度机制研究

纠删码存储集群已经成为适应大规模数据中心的典型容错存储方案.纠删码存储研究主要从新型编码和存取过程优化2个方面展开,从存取过程角度来优化纠删码存储集群的可靠性和能效性.具体地,结合系统运行状态,建立一种与运行状态相匹配的弹性I/O调度策略,即,节点正常运行时,在保证用户性能的前提下,将一部分节点切换到休眠状态,以降低存储系统的当前功率;节点失效时,以提升系统可靠性为目标,对失效数据进行流水线高速重构,最小化数据恢复时间.分别设计了具有节能特性的正常模式方案ECS2和能够加速恢复的Pipe-Rec方案,并在Reed-Solomon码存储集群(其中,编码参数k=6,r=3)中实现了原型.能耗对比测试表明:ECS2在读密集型和写密集型负载下分别能节约29.8%和28%的能耗;而重构对比测试表明:Pipe-Rec方案的重构性能是传统同步式重构方案的5.76倍.

大数据环境下冷数据存储技术概述

根据数据访问频率及规律,存储的数据可分为热数据、温数据和冷数据,其中冷数据所占比例高达80%。针对冷数据存储问题阐述了3类现有方案并比较了它们在数据安全、能耗、传输速率、运营成本等方面的性能差异,其中着重强调了光存储方案在存储冷数据方面的优势。指出以光存储技术为基础的光盘库是最佳的冷数据节能存储设备。最后总结了国内外光盘库技术的发展现状并分析了相关技术的未来发展趋势。

蓝光光盘库存储系统分类存储研究

随着蓝光存储技术的发展,大容量蓝光光盘库存储系统开始应用到数据存储领域中。光盘库存储已经成为时下研究的热点。根据文件访问频率设计了基于文件热度的光盘库分类存储系统,实现数据分类存储,将不同热度的文件分别存储到固态硬盘、磁盘和蓝光光盘库中。利用蓝光光盘存储冷数据,降低冷数据存储能耗,实现数据节能存储。

Field Test of Energy Storage System on Urban Transit System

The energy storage system charges the energy generated during braking and discharges it again when a vehicle accelerates on urban transit system. The energy storage system is considered to be one of the useful devices for energy storing and recycling. The energy storage system was developed and installed on the test track of Gyeongsan LRT in Korea. This paper presents the test plan and how much energy is saved by the energy storage system through the field test. When the energy storage system is on/off, the energy saving rate is obtained.

An energy-saving scheduling scheme for streaming media storage systems

The rapid growth of streaming media applications on the Internet is proposing higher requirements on energy consumption and I/O performance of the storage systems.However,the optimized I/O requests from different initiators will be mixed disorderly when they are reaching the storage system concurrently,which leads to increasing energy consumption.This paper proposes an energy-saving scheduling scheme based on I/O Stream(ES-IOS).The ES-IOS scheme can take the advantage of the I/O characteristics of streaming media and reorganize the mixed and disordered I/O requests into "streams".Technically,The ES-IOS scheme includes two main points,a priority-based weighted stream scheduling algorithm(PWSS) and a regression-fitting-based popularity prediction algorithm(RFPP).The PWSS algorithm can schedule the I/O streams in weighted queue based on priority to limit energy consumption.The priority of each stream is determined by its popularity.According to the I/O access records over a period,the RFPP algorithm can predict the popularity of each stream via regression fitting.Based on the popularities,the PWSS algorithm assigns more continuous service time to the hot streams and reversely less service time to the cold ones.Trace-driven experiments show that the ES-IOS scheme can reduce the energy consumption by 38%and enhance the I/O throughput by 27%approximately.

Effects of Latitude and Design Variables on Performance and Cost of a Solar Heating System with Seasonal Storage

A thermo-economic model for the simulation and optimization of a CSHPSS （central solar heating plant with seasonal storage） is presented. The model, written in Matlab, allows to analyze the effects of different design and operating variables on plant performance and cost. Daily and seasonal variations of solar irradiation at different latitudes are considered, and an original approximate model for thermal stratification is included. Since a limited computational time is required, the simulation model can be effectively integrated with a non-linear constrained optimization procedure so as to determine the optimal choice of design variables for different locations and operating conditions. The comparison between a two-variable and four-variable optimization for five different locations at various latitudes has been presented, showing a significant decrease in pay-back time with latitude. Finally a sensitivity analysis on the most important design and operating variables has been performed and presented. It emerges that the optimal insulator thickness always decreases with latitude. The optimal tilt angle is slightly lower than latitude only when the plant is designed to cover the whole thermal load, while higher tilt values are selected in case of partial load covering.

The size matters： regulation of lipid storage by lipid droplet dynamics

Adequate energy storage is essential for sustaining healthy life. Lipid droplet （LD） is the subcellular organelle that stores energy in the form of neutral lipids and releases fatty acids under energy deficient conditions. Energy storage capacity of LDs is primarily dependent on the sizes of LDs. Enlargement and growth of LDs is controlled by two molecular pathways： neutral lipid synthesis and atypical LD fusion. Shrinkage of LDs is mediated by the degradation of neutral lipids under energy demanding conditions and is controlled by neutral cytosolic lipases and lysosomal acidic lipases. In this review, we summarize recent progress regarding the regulatory pathways and molecular mechanisms that control the sizes and the energy storage capacity of LDs.