CI-ADDO-NEW: Storage System Trace Collection

CI-ADDO-NEW：存储系统跟踪收集

• 批准号: 0855090
• 负责人: John Chandy
• 金额: $ 8.63万
• 依托单位: University of Connecticut
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-01 至 2012-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0855090&HistoricalAwards=false
• 关键词: CI; ADDO; NEW; Storage; System

"This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5)."Storage system researchers have typically used I/O traces from various sources to drive their analysis and research. However, these I/O traces fail to adequately capture the effect of I/O on application performance. Moreover, they do not scale with other parts of the overall system whether it be application, systems, or processor. As a result, it is difficult to replay the trace for use in storage systems evaluation. This is particularly problematic since many of the extant publicly available I/O traces are quite old.The focus of the project is to provide to the storage research community a set of traces that will allow for accurate replay and evaluation of storage technologies. The traces will be from real systems at different levels of the storage system hierarchy including network layer, file system, and low-level disk. These include traces that do not currently exist in the storage community such as iSCSI traces, virtual machine traces, and MS Exchange traces. The project will also provide a set of tools for tracing application dependent I/O, replaying traces, and analysis. The tools and collected traces will be made available as a community resource through publicly available sources.The broader impacts of this project include providing tools and traces that can assist storage system researchers in developing new I/O system technologies. Since storage systems are critical to the current information-based economy, advances in understanding I/O system behavior should be highly beneficial. It should also be useful to data-intensive applications of national interest such as the genome project, weather simulation, and digital libraries.

“该奖项是根据2009年的《美国回收与再投资法》（公法111-5）资助的。储存系统研究人员通常使用来自各种来源的I/O痕迹来推动其分析和研究。 但是，这些I/O轨迹无法充分捕获I/O对应用程序性能的影响。 此外，无论是应用，系统还是处理器，它们都不与整体系统的其他部分进行扩展。 结果，很难重播痕迹以用于存储系统评估。 这尤其有问题，因为许多现有的公开可用的I/O痕迹都非常古老。该项目的重点是向存储研究界提供一套痕迹，这些痕迹将允许对存储技术进行准确的重播和评估。 这些跟踪将来自存储系统层次结构的不同级别的实际系统，包括网络层，文件系统和低级磁盘。 这些包括当前在存储社区中不存在的痕迹，例如ISCSI痕迹，虚拟机轨迹和MS Exchange Trace。 该项目还将提供一组用于追踪应用程序依赖I/O的工具，重播迹线和分析。这些工具和收集的痕迹将通过公开可用来源作为社区资源提供。该项目的更广泛影响包括提供工具和痕迹，可以帮助存储系统研究人员开发新的I/O系统技术。 由于存储系统对于当前的基于信息的经济至关重要，因此了解I/O系统行为的进步应该是非常有益的。 它也应对国家利益的数据密集型应用程序（例如基因组项目，天气模拟和数字图书馆）有用。