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

普适计算系统正处于彻底改变我们世界的边缘——计算将体现在日常物品中，而不是“传统的”计算机中，并将无缝地改善我们的生活。这种嵌入和成本方面的考虑表明，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，这些系统组件（智能对象）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，并酌情合作和利用第三方服务。与此同时，RFID技术继续快速发展，使标签嵌入、存储（即读/写存储器）以及物体环境和“空间”内的上下文具有成本效益。因此，这些技术提供了一个具体的环境，可以在其中探索普适计算所特有的系统级挑战。本研究为下一代普适计算应用的新系统级技术和设计方法奠定了基础。它包括三个重点。首先，讨论了基于rfid的分布式存储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，利用一组匿名移动智能对象来收集和有效地传播情境信息。第二个重点是维护跨这种基于rfid的分布式内存子系统的数据完整性和一致性。最后一个重点是研究如何为新型普适计算应用程序生成和存储上下文，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时空上下文数据。

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.