CAREER: Interactive and Collaborative Data Management in the Cloud

职业：云中的交互式和协作数据管理

• 批准号: 0845397
• 负责人: Magdalena Balazinska
• 金额: $ 50万
• 依托单位: University of Washington
• 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: 2009-07-01 至 2014-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0845397&HistoricalAwards=false
• 关键词: CAREER; Interactive; Collaborative; Data; Management

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).The scientific data management landscape is changing. Improvements in instrumentation and simulation software are giving scientists access to data at an unprecedented scale. This data is increasingly being stored in data centers running thousands of commodity servers. This new environment creates significant data management challenges. In addition to efficient query processing, the magnitude of data and queries call for new query management techniques such as runtime query control, intra-query fault tolerance, query composition support, and seamless query sharing.This project is developing a series of techniques to support the above query management tasks. To achieve this goal, the project includes the design and implementation of a prototype massively parallel database management system that serves as the platform for the development of various query management schemes. The new algorithms are evaluated on both synthetic and real data from the scientific domain.The expected results of this project include a variety of runtime query management algorithms including parallel query progress indicators, distributed intra-query fault-tolerance, and the ability to suspend and resume queries as needed. The expected results also include tools for searching previously executed queries, annotating them, and sharing them with others. Together, these tools hold the promise to significantly improve data analysis at massive scale, making it an interactive and collaborative process.Through the above contributions, this project will have significant impact on the scientific community, currently limited by their ability to analyze data. The software and technical papers resulting from this project will be disseminated through the project website (http://nuage.cs.washington.edu/).

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。科学数据管理格局正在发生变化。 仪器和仿真软件的改进正在使科学家以前所未有的规模访问数据。 这些数据越来越多地存储在运行数千个商品服务器的数据中心中。 这个新的环境带来了重大的数据管理挑战。 除了有效的查询处理外，数据和查询的幅度还要求采用新的查询管理技术，例如运行时查询控制，Query Tosebery容错，查询组成支持和无缝查询共享。该项目正在开发一系列支持上述查询管理任务的技术。为了实现这一目标，该项目包括大规模并行数据库管理系统的设计和实施，该系统是开发各种查询管理方案的平台。对科学领域的合成和真实数据进行了评估。该项目的预期结果包括各种运行时查询管理算法，包括平行查询进度指标，分布式的Query Quertrated Entractrouts Intra-Query Entra-Entra-Entra-Eroment in-Query Enferations Entra-Query Ener-Entra-Entra-Entra-Entra-Entrance in-Query Enter-Enter-Query parter-Entererance，以及根据需要暂停和暂停和恢复查询的能力。 预期的结果还包括用于搜索先前执行的查询，注释它们并与他人共享的工具。这些工具共同有望大大改善数据分析，使其成为一个互动和协作的过程。通过上述贡献，该项目将对科学界产生重大影响，目前受其分析数据的能力的限制。该项目产生的软件和技术论文将通过项目网站（http://nuage.cs.washington.edu/）传播。