MII: An Infrastructure for Wide-Area Large Scale Automated Information Processing

该项目正在开发一个新的概念框架，用于在广义广域、大规模分布式网络基础设施中自动处理来自物理传感器的信息。 该项目的重点是与水有关的生态和环境应用，它正在解决的问题，如可扩展性，模块化，信号表示，数据一致性，数据集成，分布式查询处理，调度，计算机性能，网络性能和可用性。这个新的框架将信号视为规定集合及其相关结构中的元素。该项目正在构建一个计算和信息处理（CIP）环境，以处理基于信号的大规模内容的算法处理，以便提取对用户相关和重要的信息。它还在开发计算信号处理的新理论和算法，以收集，处理和表示从物理传感器获得的数据，在一端，以及在软件应用程序中开发新的，非传统的概念，用于可重新配置，多模式人机界面，以呈现对用户重要的信息，另一端。该项目还在中间件集成、分布式查询优化、分布式查询处理和分布式调度算法方面开发新概念，以适应不断变化的网络基础设施，并在物理世界感知现实及其相关物理传感器与用户之间提供一条路径，用户具有网络和数据库基础设施应用程序。该项目正在调整其工作，以便在确定、监测、评估和管理热带地区的水文事件方面实现战略性的环境和生态应用。 该项目将进一步扩大该部门已经做出的努力，以增加西班牙裔和女性科学家和工程师的数量。

This project is developing a new conceptual framework for the automated processing of information arriving from physical sensors in a generalized wide-area, large-scale distributed network infrastructure. The project is focusing on water-related ecological and environmental applications, and it is addressing issues such as scalability, modularity, signal representation, data coherence, data integration, distributed query processing, scheduling, computer performance, network performance, and usability. This new framework treats signals as elements in prescribed sets and their associated structures. The project is constructing a computing and information processing (CIP) environment to deal with the algorithmic treatment of signal-based large scale content in order to extract information relevant and important to a user. It is also developing new theories and algorithms for computational signal processing to gather, process, and represent data obtained from physical sensors, at one end, as well as the development of new, non-traditional, concepts in software applications for reconfigurable, multimode human-computer interfaces to render information important to a user, at the other end. The project is also developing new concepts in middleware integration, distributed query optimization, distributed query processing, and distributed scheduling algorithms to adapt to an ever changing network infrastructure and provide a pathway between a physical world sensory reality with its associated physical sensors, and a user with network and database infrastructure applications. This project is tailoring its work for strategic environmental and ecological applications in the identification, monitoring, assessment, and management of hydrological events in tropical areas. The project will further expand the department's already strong efforts to increase the number of Hispanic and female scientists and engineers.