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Automaton Meets Algebra: Towards an XML-Centric Stream Query System

Automaton Meets Algebra: Towards an XML-Centric Stream Query System
自动机与代数的结合:迈向以 XML 为中心的流查询系统
批准号:
0414567
负责人:
Elke Rundensteiner
金额:
$0.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2005
资助国家:
美国
项目状态:
已结题
起止时间:
2005-09-01 至 2009-08-31

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中文摘要
翻译
数据流处理在当今的许多应用中已经变得至关重要。使用可扩展标记语言(XML)来表示数据的示例流应用包括信息的选择性传播,诸如个性化新闻递送、用于企业对企业(B2B)面向消息的中间件服务器的XML消息代理。这个项目探索了一种新的XML流处理范例,它将基于标记的自动机计算和基于元组的代数计算集成到一个统一的框架中。由此产生的RainDrop体系结构支持灵活地利用自动机和代数计算范例。这除其他优点外,还允许在这种新的上下文中应用成熟的代数优化技术,例如查询计划重写和成本估计。此外,这种方法能够基于数据统计将操作员推入和推出自动机。RainDrop框架结合了其他高级功能,例如基于模式的优化、多种执行模式和运行时物理计划重新制定。预计许多以Internet为中心的现实世界应用程序将产生长期影响,因为这些应用程序可以受益于由此产生的基于XML的流监控技术。更广泛的影响包括开发和传播通过项目网站(http://davis.wpi.edu/~dsrg/raindrop),)开发的软件系统,以及按照世界和平研究所以项目为基础的教育精神,将私人投资机构的研究活动与本科生和研究生教学相结合。
英文摘要
Data-stream processing has become critical in numerous present-day applications. Example stream applications that use Extensible Markup Language (XML) for representing the data include selective dissemination of information such as personalized news delivery, XML message brokers for Business to Business (B2B) message-oriented middleware servers. This project explores a novel paradigm for XML stream processing that integrates token-based automata computation and tuple-based algebraic computation into one uniform framework. The resulting Raindrop architecture supports the flexible exploitation of both automata and algebra computation paradigms. This, among other advantages, enables the application of mature algebraic optimization techniques such as query plan rewriting and cost estimation within this new context. Furthermore, this approach enables pushing operators in and out of the automata, based on data statistics. The Raindrop framework incorporates additional advanced features, such as schema-based optimization, multiple execution modes and run-time physical plan reformulation. A long-reaching impact is expected in many real-world applications that are Internet centric, as these can benefit from the resulting XML-based stream monitoring technology. Broader impacts include the development and dissemination of the software systems developed via the project's Web site (http://davis.wpi.edu/~dsrg/raindrop), and the integration of the PIs' research activities with undergraduate and graduate teaching in line with the project-based spirit of education at WPI.
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REU Site: Applied Artificial Intelligence for Advanced Applications
  • 批准号:
    2349370
  • 项目类别:
    Standard Grant
  • 资助金额:
    $46.16万
  • 财政年份:
    2024
  • 负责人:
    Elke Rundensteiner
  • 依托单位:
Collaborative Research: ELEMENTS: Tuning-free Anomaly Detection Service
  • 批准号:
    2103832
  • 项目类别:
    Standard Grant
  • 资助金额:
    $25.97万
  • 财政年份:
    2021
  • 负责人:
    Elke Rundensteiner
  • 依托单位:
NRT-HDR: Data-Driven Sustainable Engineering for a Circular Economy
  • 批准号:
    2021871
  • 项目类别:
    Standard Grant
  • 资助金额:
    $299.93万
  • 财政年份:
    2020
  • 负责人:
    Elke Rundensteiner
  • 依托单位:
III: Small: Fair Decision Making by Consensus: Interactive Bias Mitigation Technology
  • 批准号:
    2007932
  • 项目类别:
    Standard Grant
  • 资助金额:
    $50.0万
  • 财政年份:
    2020
  • 负责人:
    Elke Rundensteiner
  • 依托单位:
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