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An analytical performance and power model based on the transition probability for hard disks

机译:基于硬盘过渡概率的分析性能和功率模型

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In order to reduce power consumption in disk-based storage systems, based on the definition of multiple power states, a lot of efforts focus on power consumption management mechanisms which can be developed to allow system software to control transitions between the power states. But, little work studies energy consumption and performance metrics of I/O systems through the transition probability among different disk modes. In this paper, we define the transition probability mathematically from active mode to idle mode, and propose a novel analytical approach to evaluate energy consumption and performance metrics, i.e., queue length, throughput, response time. Our proposed model might motivate storage researchers to exploit a quick analysis toolkit and give some insights for the design of power-aware storage systems.
机译:为了降低基于磁盘的存储系统的功耗,基于多个电力状态的定义,很多都努力专注于能够开发的功耗管理机制,以允许系统软件控制电力状态之间的转换。但是,通过不同磁盘模式之间的转换概率,小型工作研究I / O系统的能耗和性能指标。在本文中,我们从活动模式到空闲模式将数学上的转换概率定义,并提出了一种新的分析方法来评估能量消耗和性能度量,即队列长度,吞吐量,响应时间。我们所提出的模型可能会激励存储研究人员利用快速分析工具包,并对电源感知存储系统的设计提供一些见解。

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