CSR: Small:The Wisconsin Specialized Support for Storage Clouds (WiS3C) Project

CSR：小型：威斯康星州存储云专业支持 (WiS3C) 项目

• 批准号: 1218405
• 负责人: Remzi Arpaci-Dusseau
• 金额: $ 44万
• 依托单位: University of Wisconsin-Madison
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2016-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1218405&HistoricalAwards=false
• 关键词: CSR; Small; Wisconsin; Specialized; Support

The increasing importance of ?big data?, i.e., the usage of computer systems to store and analyze large data sets, is changing the face of both science and industry. Underlying big-data analyses are big-data storage systems, including the popular Hadoop File System (HDFS). The WiS3C project seeks to re-examine the core foundations of storage systems such as HDFS, specifically by developing new specialized storage techniques to improve both the reliability and performance of these systems. The project specifically targets novel modifications in crash consistency (i.e. how storage systems keep data safe despite power loss), end-to-end data integrity (i.e., how storage systems ensure data does not become corrupt), and caching and layout (i.e., how storage systems make access to data fast); the sum of these changes will result in a new era of more robust and high-performance big-data analysis. The project will also improve the educational pipeline by connecting more undergraduates with research and attracting more women into the Ph.D. program.

的重要性与日俱增？大数据?即使用计算机系统来存储和分析大型数据集，正在改变科学和工业的面貌。大数据分析的底层是大数据存储系统，包括流行的Hadoop文件系统（HDFS）。WiS3C项目旨在重新审视HDFS等存储系统的核心基础，特别是通过开发新的专用存储技术来提高这些系统的可靠性和性能。该项目特别针对崩溃一致性（即存储系统如何在断电时保持数据安全），端到端数据完整性（即存储系统如何确保数据不会损坏）以及缓存和布局（即存储系统如何快速访问数据）方面的新修改；这些变化的总和将带来一个更强大、更高性能的大数据分析的新时代。该项目还将通过将更多本科生与研究联系起来，吸引更多女性攻读博士学位，从而改善教育渠道。