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 年美国复苏和再投资法案（公法 111-5）资助的。”存储系统研究人员通常使用来自各种来源的 I/O 跟踪来推动他们的分析和研究。 然而，这些 I/O 跟踪无法充分捕获 I/O 对应用程序性能的影响。 此外，它们无法与整个系统的其他部分（无论是应用程序、系统还是处理器）一起扩展。 因此，很难重放跟踪以用于存储系统评估。 这是一个特别成问题的问题，因为许多现有的公开可用的 I/O 跟踪都相当陈旧。该项目的重点是向存储研究社区提供一组跟踪，以便准确重放和评估存储技术。 这些痕迹将来自存储系统层次结构不同级别的真实系统，包括网络层、文件系统和低级磁盘。 其中包括当前存储社区中不存在的跟踪，例如 iSCSI 跟踪、虚拟机跟踪和 MS Exchange 跟踪。 该项目还将提供一组用于跟踪应用程序相关 I/O、重放跟踪和分析的工具。这些工具和收集的跟踪将通过公开来源作为社区资源提供。该项目的更广泛影响包括提供可以帮助存储系统研究人员开发新 I/O 系统技术的工具和跟踪。 由于存储系统对于当前基于信息的经济至关重要，因此理解 I/O 系统行为的进展应该非常有益。 它还对国家利益的数据密集型应用有用，例如基因组计划、天气模拟和数字图书馆。