ITR--Benchmarking and Profiling Tools for Disk I/O and Networked Storage Systems
ITR--Benchmarking and Profiling Tools for Disk I/O and Networked Storage Systems
批准号:
0312613
负责人:
Qing Yang
金额:
$0.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2003
资助国家:
美国
项目状态:
已结题
起止时间:
2003-08-01 至 2008-07-31
中文摘要
YangHELP:磁盘I/O和网络存储系统的分析工具摘要本研究的主要目标是设计和实现一个低开销的分析/优化的硬件环境,名为HELP。HELP是一个由硬件嵌入式系统板和一组易于使用的API组成的框架,允许系统架构师为存储操作开发自己的高效分析和优化工具。HELP板可以直接插入服务器或存储系统,以加快存储操作。与大多数现有的分析和优化技术不同,我们的方法最大限度地减少了分析开销和数据偏差,从而更准确地分析磁盘I/O行为。 通过从主机卸载分析/优化功能,HELP可以在生产系统中进行运行时监控,收集,分析和优化磁盘I/O和数据存储操作。一个系统架构师能够探索更多的机会比以往任何时候都在设计工具,分析和优化,研究存储访问的行为,并发明新的存储体系结构使用HELP。成功完成拟议的研究将导致一个有效的工具,将有很大的影响,计算机体系结构的研究,以及更广泛的IT社区。研究人员可以从我们的HELP系统中受益匪浅,指导他们寻找新的数据存储架构和新算法。IT行业也可以从我们的工具中受益匪浅,为存储系统和解决方案做出设计选择。它还将通过促进更好地理解详细的系统行为对计算机体系结构教育产生重大影响。
英文摘要
YangHELP: A Profiling Tool for Disk I/O and Networked Storage SystemsAbstractThe major goal of this proposed research is to design and implement a hardware environment for low-overhead profiling/optimization, named HELP. HELP is a framework consisting of a hardware embedded system board and a set of easy-to-use APIs to allow system architects to develop their own efficient profiling and optimization tools for storage operations. A HELP board can be directly plugged into a server or storage system to speed up storage operations. Unlike most existing profiling and optimization techniques, our approach minimizes profiling overheads and data skews resulting in more accurate analysis of disk I/O behavior. By offloading profiling/optimization functions from the host, HELP makes it possible to do runtime monitoring, collecting, analyzing, and optimizing disk I/O and data storage operations in a production system. A system architect is able to explore more opportunities than ever in designing tools for profiling and optimization, studying behavior of storage accesses, and inventing new storage architectures using HELP.Successful completion of the proposed research will result in an effective tool that will have great impact on computer architecture research as well as broader IT community. Researchers can benefit greatly from our HELP system in guiding their search for new architectures and new algorithms for data storage. IT industries can also benefit greatly from our tool in making design choices for storage systems and solutions. It will also have significant impact on computer architecture education by facilitating better understanding of detailed system behavior.
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