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Analyzing the feasibility of building a new mass storage system on distributed resources

机译:分析在分布式资源上构建新的大容量存储系统的可行性

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The average PC now contains a large and increasing amount of storage with an ever greater amount left unused. We believe there is an opportunity for organizations to harness the vast unused storage capacity on their PCs to create a very large, low-cost, shared storage system. What is needed is the proper storage system architecture and software to exploit and manage the unused portions of existing PC storage devices across an organization and make it reliably accessible to users and applications. We call our vision of such a storage system Storage @desk (SD). This paper describes our first step towards the realization of SD-a study of machine and storage characteristics and usage in a model organization. We studied 729 PCs in an academic institution for 91 days, monitoring the configuration, load and usage of the major machine subsystems, i.e. disk, memory, CPU and network. To further analyze the availability characteristics of storage in an SD system, we performed a trace-driven simulation of some basic storage allocation strategies. This paper presents the results of our data collection efforts, our analysis of the data, our simulation results and our conclusion that an SD system is indeed feasible and holds promise as a cost-effective way to create massive storage systems.
机译:现在,普通的PC包含大量且不断增加的存储空间,而且还有大量闲置空间。我们认为,企业有机会利用其PC上巨大的未使用存储容量来创建非常大的,低成本的共享存储系统。所需要的是适当的存储系统体系结构和软件,以利用和管理组织中现有PC存储设备的未使用部分,并使用户和应用程序可以可靠地访问它。我们将这种存储系统的愿景称为Storage @desk(SD)。本文介绍了实现SD的第一步-研究模型组织中的机器和存储特性及其用法。我们在一家学术机构研究了729台PC,历时91天,以监控主要机器子系统(即磁盘,内存,CPU和网络)的配置,负载和使用情况。为了进一步分析SD系统中存储的可用性特征,我们对一些基本存储分配策略进行了跟踪驱动的仿真。本文介绍了我们的数据收集工作,我们的数据分析,我们的仿真结果以及我们得出的结论,即SD系统确实可行,并有望作为一种经济高效的方式来创建大型存储系统的结论。

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