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.

普遍的计算系统濒临彻底改变我们的世界 - 计算将体现在日常对象中，而不是“传统”计算机中，并且会无缝地增强我们的生活。这种嵌入和成本考虑因素表明，普遍的计算应用程序将由一组动态的系统组件（智能对象）组成，该系统组件（智能对象）在分布式结构上执行，该分布式结构包括共享存储，计算和感应资源，适应环境变化，并适应了机会，机会合理地合作和利用第三方服务。同时，RFID技术继续其快速的演变，以实现标签的成本效益嵌入，存储（即读/写记忆），从而在对象的环境和“空间”中。因此，这些技术提供了一个具体的设置，可以在其中探索普遍计算所特有的系统级挑战。这项研究为下一代普遍计算应用程序的新型系统级技术和设计方法奠定了基础。它包括三个关键推力。首先，它解决了基于新型RFID的分布式内存子系统的组织和管理。关键的想法是，这些可以用作多个应用程序共享的公共资产，并利用匿名移动智能对象集体收集并有效地传播在SitucoStextual信息中。第二个推力重点是维持此类基于RFID的分布式内存子系统的数据完整性和一致性。最后的推力研究了如何为新颖的普遍计算应用程序生成和存储环境，涉及对不同策略的特征和缩放特性的正式研究，以生成和捕获分布式的时空上下文数据。