ITR: Collaborative Research: Real-time Capture, Management and Reconstruction of Spatio-Temporal Events

随着嵌入式处理器、低成本传感器技术和无线通信的进步，正在产生关于真实的世界及其活动的空前数量的各种类型的信息。大部分信息本质上是时空的;涉及分散在空间和时间中的对象，并与彼此及其周围环境进行交互和通信。一个促进实时捕获、存储、处理、显示和分析所生成信息的基础设施将真正彻底改变各种应用领域。将受益于该技术的领域的示例包括航空电子设备、地面交通、商业应用（诸如船运和运输）、应急响应和救灾操作、物理现象（诸如天气和风暴跟踪）、森林火灾跟踪、动物/鸟类的迁移模式、命令和控制、智能环境等。跟踪和分析空间和时间中的对象/事件/现象。这种传感器丰富的通信和信息基础设施的一个组成部分是数据库管理技术，该技术允许无缝访问分散在存储、通信和处理单元的层次结构中的信息-从数据产生的传感器设备到存储所生成的信息以供分析和挖掘的大型数据库。本研究将探索下一代数据库管理系统技术，为高度分布式和动态传感器丰富的环境中的信息处理提供有效的支持。所采取的方法将是端到端的-也就是说，研究将在系统的各个方面进行，从表示，数据建模，查询语言，数据结构，查询优化，查询处理，分布和并发访问。将开发一个原型数据库管理基础设施，支持高度动态的地理上分散的时空数据、数据的多分辨率表示，并为可视化和分析提供有效支持。

With the advances in embedded processors, low cost sensor technologies, and wireless communication, unprecedented amounts of diverse types of information about the real world and its activities are being generated. Much of the information is spatio-temporal in nature; concerning objects dispersed in space and time, and interacting and communicating with each other and their surroundings. An infrastructure that facilitates real-time capture, storage, processing, display, and analysis of the information generated will truly revolutionize a wide variety of application domains. Examples of domains that will benefit from this technology include avionics, ground traffic, commercial applications such as ship-ping and transportation, emergency response and disaster relief operations, physical phenomenon such as weather and storm tracking, forest fire tracking, migration patterns of animals/birds, command and control, smart environments, etc. Applications in the above domains require real-time monitoring, tracking and analysis of objects/events/phenomena in space and time. An integral component of such sensor enriched communication and information infrastructure is a database management technology that allows seamless access to information dispersed across a hierarchy of storage, communication and processing units - from sensor devices, where data originates, to large data banks where the information generated is stored for analysis and mining. This research will explore next generation database management system technology that provides effective support for information processing in highly distributed and dynamic sensor-enriched environments. The approach taken will be end-to-end - that is, research will be conducted on all aspects of the system ranging from representation, data modeling, query languages, data structures, query optimization, query processing, distribution, and concurrent accesses. A prototype database management infrastructure that supports highly dynamic geographically dispersed spatio-temporal data, multi-resolution representation of data, and provides effective support for visualization and analysis will be developed.