Selective Just-In-Time (JIT) Information Propagation in Large Network-Centric Environments

以网络为中心的大型环境中的选择性即时 (JIT) 信息传播

• 批准号: 0123730
• 负责人: Sharma Chakravarthy
• 金额: $ 24万
• 依托单位: University of Texas at Arlington
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-09-01 至 2005-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0123730&HistoricalAwards=false
• 关键词: Selective; Just; Time; JIT; Information

Efficient and effective change detection and notification is becoming increasingly important for environments such as WWW and distributed heterogeneous systems. Change detection for structured data has been studied extensively. Change detection and notification for unstructured data in the form of html and XML documents is the goal of this project. The objectives of this proposal are to investigate the specification, management, and propagation of changes as requested by a user in a timely manner, and meeting the quality of service requirements. The user is allowed to specify the kind of changes to documents s/he is interested in, at different levels of granularity. They also specify how they need to be notified (email, mobile host, PDA, etc.) when the requested information becomes available. Quality of service (QoS) information such as timing constraints, aggregated vs. individual changes is part of the user specification. User specifications are translated into a set of rules that are used for extracting documents, monitoring changes, and propagation of relevant information. Special attention is paid to scalability issues, as it is an important aspect of the solution. The ability to selectively monitor and be informed of changes (push) augments the current strategy of pulling information periodically and checking for interesting changes. By disseminating the resulting prototype and the results over the Internet, scientists can benefit from it. Through integration of research into courses taught at UTA and into student research, this project will impact education at UTA and other universities.

对于WWW和分布式异类系统等环境，高效有效的变化检测和通知正变得越来越重要。结构化数据的变化检测已经得到了广泛的研究。对html和xml文档形式的非结构化数据进行变更检测和通知是本项目的目标。本建议的目标是根据用户的要求及时调查变更的规范、管理和传播，并满足服务质量要求。允许用户以不同的粒度级别指定对S/他感兴趣的文档的改变的种类。它们还指定了需要通知他们的方式(电子邮件、移动主机、PDA等)当请求的信息可用时。服务质量(Qos)信息是用户规范的一部分，例如定时约束、聚合变化与单个变化。用户规范被转换为一组规则，用于提取文档、监视更改和传播相关信息。特别关注可伸缩性问题，因为这是解决方案的一个重要方面。有选择地监视和获知更改(推送)的能力增强了当前定期提取信息和检查感兴趣的更改的策略。通过在互联网上传播产生的原型和结果，科学家可以从中受益。通过将研究整合到UTA教授的课程和学生研究中，该项目将影响UTA和其他大学的教育。