CAREER: Infrastructures for Sensor-based Data-centric Monitoring Applications

职业：基于传感器的以数据为中心的监控应用的基础设施

• 批准号: 0448284
• 负责人: Ugur Cetintemel
• 金额: $ 50万
• 依托单位: Brown University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-06-01 至 2011-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0448284&HistoricalAwards=false
• 关键词: CAREER; Infrastructures; Sensor; based; Data

Autonomous sensing/actuation applications will use sensors to observe the world around them, process the data they gather to reach conclusions and make decisions, and use actuators to affect the world on the basis of those decisions, all potentially without any human involvement. These applications significantly extend the scope of today's sensor networks, which are used primarily to ease data collection for offline analysis by humans. The goal of this project is to design and build a data-centric software infrastructure and pertinent abstractions, mechanisms and protocols that significantly simplify the structuring and implementation of robust and efficient autonomous applications.The system enables developers to easily specify application-specific data acquisition, processing, dissemination, and actuation logic using a flexible set of high-level computational primitives. The system translates these global specifications to code and protocols executable by individual network nodes and then automatically distributes and executes them reliably and efficiently using a novel set of algorithms. The system can employ both generic and application-specific optimization techniques to improve its operation, as these specifications are logical and do not indicate where and how execution should take place.Broader impacts of the proposal include significant graduate and undergraduate course development, the recruitment of undergraduates into research, integration of research and teaching through graduate courses, introduction of state-of-the-art research ideas into undergraduate courses, public dissemination of educational materials and research results, and development of publicly-accessible tools and infrastructures that facilitate learning, discovery, innovation, and solutions to real problems.http://www.cs.brown.edu/~ugur/spawn_project.html

自主感应/致动应用程序将使用传感器来观察周围的世界，处理他们收集的数据以得出结论并做出决策，并使用执行者根据这些决策来影响世界，这可能无需任何人类参与。这些应用程序大大扩展了当今传感器网络的范围，这些传感器网络主要用于缓解人类离线分析的数据收集。该项目的目的是设计和构建以数据为中心的软件基础架构以及相关的抽象，机制和协议，可以显着简化强大和有效的自主应用的结构和实施。该系统使开发人员能够轻松地指定应用程序特定的数据获取，处理，传播，散发，散发和使用高级的精力设置的精力设置，使其具有灵活的逻辑。该系统将这些全局规格转换为可通过各个网络节点执行的代码和协议，然后使用一组新颖的算法自动分配并可靠，有效地执行它们。该系统可以采用通用和针对特定应用的优化技术来改善其运行，因为这些规格是逻辑的，并且没有指示应在何处以及如何进行执行。该提案的影响包括重要的研究生和本科课程的发展，招募不足的研究培养在研究，研究和教学课程中的研究和教学课程的范围内，并介绍了跨学院的研究，并介绍了研究范围的研究，并介绍了研究生的介绍，并介绍了研究生的介绍，并介绍了研究生，并将其介绍为研究，并将其介绍为研究，并介绍了研究生的介绍，并介绍了研究生的介绍，并将其介绍为研究。结果，并开发可公开访问的工具和基础架构，这些工具和基础架构促进了真正问题的学习，发现，创新和解决方案。