Power Consumption and Computation Models of a Storage Server

A. Sawada, Hiroki Kataoka, Dilawaer Duolikun, T. Enokido, M. Takizawa
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引用次数: 1

Abstract

It is now critical to reduce electric energy consumed in a cluster of servers, especially scalable systems including a huge number of servers like cluster computing systems. Types of application processes like computation, storage, and communication processes are performed on servers in clusters. In clusters, most applications use not only CPU resources but also storage drives like database and web applications. In this paper, we consider storage processes which read and write files in storage devices. The SPCS model (simple power consumption model for a storage server) shows how much electric power a server consumes to perform storage and computation processes. In our macro-level approach, we first measure the electric power consumed by a whole server to perform storage and computation processes and the computation time of each process. Then, we define the SPCS model of a server to perform storage and computation processes by abstracting parameters like number of processes which dominate the electric power consumption. We also define a simple computation model for a storage server (SPCS model) to perform storage and computation processes.
存储服务器功耗和计算模型
现在,减少服务器集群中的电能消耗是至关重要的,特别是包含大量服务器的可扩展系统,如集群计算系统。计算、存储和通信等应用程序进程类型在集群中的服务器上执行。在集群中,大多数应用程序不仅使用CPU资源,还使用存储驱动器,如数据库和web应用程序。在本文中,我们考虑在存储设备中读写文件的存储过程。SPCS模型(存储服务器的简单功耗模型)显示服务器执行存储和计算过程所消耗的电力。在我们的宏观级方法中,我们首先测量整个服务器执行存储和计算流程所消耗的电力,以及每个流程的计算时间。然后,我们通过抽象进程数等控制功耗的参数,定义了服务器的SPCS模型来执行存储和计算过程。我们还为存储服务器定义了一个简单的计算模型(SPCS模型)来执行存储和计算过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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