CSR-EHS: Novel Mobile and Distributed Embedded Systems for Pervasive Computing Applications

CSR-EHS：用于普适计算应用的新型移动和分布式嵌入式系统

• 批准号: 0509355
• 负责人: Gustavo de Veciana
• 金额: $ 34万
• 依托单位: University of Texas at Austin
• 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: 2005-08-01 至 2011-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0509355&HistoricalAwards=false
• 关键词: CSR; EHS; Novel; Mobile; Distributed

Pervasive computing systems are on the brink of revolutionizing our world - computation will be embodied in everyday objects, not 'traditional' computers, and will seamlessly enhance our lives. This embedding, and cost considerations, suggest that pervasive computing applications will consist of a dynamic set of system components (smart objects) executing on a distributed fabric consisting of shared storage, computing, and sensing resources, adapting to environmental changes, and opportunistically cooperating and exploiting third party services. At the same time, RFID technologies continue their fast paced evolution towards enabling cost effective embedding of tags, storage (i.e., read/write memories) and thus context within the environment and 'space' of objects. As such, these technologies provide a concrete setting in which to explore the system-level challenges unique to pervasive computing. This research lays the foundations for novel system-level technologies and design methodologies for next generation pervasive computing applications. It includes three key thrusts. First, it addresses the organization and management of novel RFID-based distributed memory subsystems. The key idea is that these might be used as a public asset, shared by multiple applications, leveraging a collective of anonymous mobile smart objects to gather and efficiently disseminate in situcontextual information. The second thrust focuses on maintaining data integrity and consistency across such RFID-based distributed memory subsystems. The last thrust investigates how to generate and store context for novel pervasive computing applications, involving a formal study of the characteristics and scaling properties of different policies to generate and capture distributed space-time contextual data.

普适计算系统即将彻底改变我们的世界-计算将体现在日常物品中，而不是“传统”计算机，并将无缝地改善我们的生活。这种嵌入和成本考虑表明，普适计算应用程序将由一组动态的系统组件（智能对象）组成，这些组件在由共享存储、计算和传感资源组成的分布式结构上执行，适应环境变化，并适时地合作和利用第三方服务。与此同时，RFID技术继续朝着实现标签、存储（即，读/写存储器）以及因此对象的环境和“空间”内的上下文。因此，这些技术提供了一个具体的环境，在其中探索普适计算所特有的系统级挑战。该研究为下一代普适计算应用的系统级新技术和设计方法奠定了基础。它包括三个关键的推力。首先，它解决了新的基于RFID的分布式存储器子系统的组织和管理。关键的想法是，这些可能被用作公共资产，由多个应用程序共享，利用匿名移动的智能对象的集合来收集和有效地传播现场上下文信息。第二个重点是在基于RFID的分布式存储器子系统中维护数据的完整性和一致性。最后一个推力调查如何产生和存储上下文的新的普适计算应用程序，涉及到正式的研究的特点和缩放特性的不同的政策，以产生和捕获分布式时空上下文数据。