MavEstream: Synergistic Integration of Stream and Event Pocessing

MavEstream：流和事件处理的协同集成

• 批准号: 0534611
• 负责人: Sharma Chakravarthy
• 金额: --
• 依托单位: University of Texas at Arlington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-02-01 至 2010-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0534611&HistoricalAwards=false
• 关键词: MavEstream; Synergistic; Integration; Stream; Event

IIS-0534611Sharma Chakravarthy [e-mail] University of Texas at ArlingtonMavEStream: Synergistic Integration of Stream and Event ProcessingThe goal of this research project is to facilitate a synergistic integration of stream processing with event processing to meet the needs of new class of applications (e.g., intelligent home monitoring, accident monitoring on highways). The concept of window in stream processing is generalized and enhanced to a semantic window that can be applied to both streams and events. Quality of service (QoS) requirements is addressed in the context of event processing (using scheduling and load shedding strategies) to obtain a seamless end-to-end system. Current time-based semantics of event operators is extended to include attribute-based semantics to increase the expressiveness of event operators. Optimization of event operators in the presence of attribute-based semantics is addressed as well. A proof-of-principle system to incorporate the results of this research is implemented. Extensive performance and scalability experiments are conducted using data from linear road benchmark and intelligent home monitoring (e.g., MavHome) to evaluate the effectiveness of the algorithms and the implementation of the system. The results of this research will have far reaching effects on sensor as well as pervasive computing applications such as environmental monitoring, RFID- and GIS-based tracking and monitoring systems. They will be integrated into graduate and undergraduate courses taught at UTA, and will be disseminated through papers and reports and via the project Web site (http://itlab.uta.edu/sharma/projects/mavestream/index.htm).

IIS-0534611 Sharma Chakravarthy [e-mail] University of Texas at Arlington MavEStream：流和事件处理的协同集成该研究项目的目标是促进流处理与事件处理的协同集成，以满足新一类应用程序的需求（例如，智能家庭监控、高速公路上的事故监控）。将流处理中窗口的概念推广和增强为一个既适用于流又适用于事件的语义窗口。服务质量（QoS）的要求是解决的事件处理（使用调度和减载策略），以获得一个无缝的端到端系统的上下文中。当前基于时间的事件操作符的语义被扩展到包括基于属性的语义，以增加事件操作符的表达能力。在基于属性的语义的存在下，事件操作符的优化也得到解决。一个证明的原理系统，将本研究的结果实施。使用来自线性道路基准和智能家庭监控（例如，MavHome），以评估算法的有效性和系统的实现。这项研究的结果将有深远的影响，传感器以及普适计算应用，如环境监测，RFID和GIS为基础的跟踪和监测系统。 它们将被纳入技术学院教授的研究生和本科生课程，并将通过论文和报告以及项目网址（http：//itlab.uta.edu/sharma/projects/mavestream/index.htm）传播。