Algorithms and Metrics for New Generation Data Stream Management Systems

新一代数据流管理系统的算法和指标

• 批准号: 0534531
• 负责人: Panos Chrysanthis
• 金额: --
• 依托单位: University of Pittsburgh
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-03-01 至 2011-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0534531&HistoricalAwards=false
• 关键词: Algorithms; Metrics; New; Generation; Data

IIS-0534531Panos K. Chrysanthis [e-mail] of PittsburghAlgorithms and Metrics for New Generation Data Stream Management SystemsThe goal of this project is to design a new generation of data stream management systems (DSMSs), with equal emphasis on optimizing performance and enhancing functionality. New generation DSMSs simplify the development of a wide range of monitoring applications, with diverse requirements. Monitoring applications are core components in scientific exploration, health alerting, environmental monitoring, and business support systems. This project reexamines all four critical components of a DSMS: query scheduler, load shedder, query processor, and data dissemination modules. The two key innovations of this project are: (1) it looks at how these four modules can be integrated to work in combination, instead of making in isolation decisions that have a significant impact on the overall performance; and (2) this project formalizes QoS/QoD metrics for DSMSsand develops algorithms designed to optimize these metrics. In addition, the project plans include the analytical and experimental evaluation of the proposed algorithms and also the implementation and evaluation of a prototype system. This project provides opportunities for both graduate and undergraduate students to participate in the development of cutting edge technology. Results of this research, including software, data, and publications, will be disseminated via the project Web site at http://db.cs.pitt.edu/streams

IIS-0534531Panos K.新一代数据流管理系统的算法和实现本项目的目标是设计新一代数据流管理系统（DSMSs），同时强调优化性能和增强功能。 新一代DSMS简化了各种监控应用的开发，满足了不同的要求。 监测应用程序是科学探索、健康警报、环境监测和业务支持系统的核心组件。这个项目重新审视了DSMS的所有四个关键组件：查询调度器、负载卸载器、查询处理器和数据分发模块。该项目的两个关键创新是：（1）它着眼于如何将这四个模块集成到一起工作，而不是孤立地做出对整体性能有重大影响的决策;（2）该项目正式确定了DSM的QoS/QoD指标，并开发了旨在优化这些指标的算法。此外，该项目计划包括分析和实验评估所提出的算法，也是一个原型系统的实施和评估。 该项目为研究生和本科生提供了参与尖端技术开发的机会。 这项研究的结果，包括软件、数据和出版物，将通过项目网站http://db.cs.pitt.edu/streams进行传播