System Support for Distributed Information Change Monitoring

分布式信息变更监控的系统支持

• 批准号: 9988452
• 负责人: Ling Liu
• 金额: $ 28万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-07-01 至 2003-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9988452&HistoricalAwards=false
• 关键词: System; Support; Distributed; Information; Change

The project investigates the design and implementation issues in the mointoring of information changes in large distributed networks such as the Internet and World Wide Web. One of the objectives is to develop efficient and scalable strategies, techniques, and systems support for distributed control of large numbers of information change monitoring requests. Research questions to be addressed include the following. What software techniques and tools are able to extract, integrate, and query streams of data over semi-structured or unstructured data? Which distributed trigger and data processing techniques are most scalable and yet efficient in the presence of millions of information change monitoring requests? How do change monitors adapt to wide system parameter variations in runtime environments such as the Internet? How do they scale up as the number of information sources reach millions? Critical system components include change detection algorithms (e.g., tree comparison for web pages), trigger and query grouping, indexing, and caching, as well as parallel processing. Appropriate components will be implemented and evaluated through simulation and measurements on the Internet. These experiments will emphasize the efficiency and scalability of Internet-scale information change monitoring systems. The research results will aid in the engineering, implementation and evaluation of systems and middleware software support for scalable and efficient processing of distributed triggers and queries, as well as effective detection and notification of information changes.

该项目研究了大型分布式网络（例如互联网和万维网）中信息变化监控的设计和实现问题。 目标之一是开发高效且可扩展的策略、技术和系统支持，以对大量信息变更监控请求进行分布式控制。 要解决的研究问题包括以下内容。 哪些软件技术和工具能够提取、集成和查询半结构化或非结构化数据的数据流？ 在存在数百万个信息更改监控请求的情况下，哪种分布式触发器和数据处理技术最具可扩展性且最高效？ 变更监视器如何适应运行时环境（例如 Internet）中广泛的系统参数变化？ 当信息源数量达到数百万时，它们如何扩展？ 关键系统组件包括变化检测算法（例如网页的树比较）、触发器和查询分组、索引和缓存以及并行处理。 将通过互联网上的模拟和测量来实施和评估适当的组件。 这些实验将强调互联网规模信息变化监控系统的效率和可扩展性。 研究成果将有助于系统和中间件软件支持的工程、实施和评估，以实现分布式触发器和查询的可扩展和高效处理，以及信息变化的有效检测和通知。