CAREER: MauveDB: Model-Based User Views over Sensor Data

职业：MauveDB：基于模型的用户对传感器数据的视图

• 批准号: 0546136
• 负责人: Amol Deshpande
• 金额: $ 47.99万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-01-01 至 2011-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0546136&HistoricalAwards=false
• 关键词: CAREER; MauveDB; Model; Based; User

IIS-0546136Amol V Deshpande [e-mail] of Maryland College ParkCAREER: MauveDB: Model-based User Views over Sensor DataReal-world data --- especially when generated by distributed measurement infrastructures such as sensor networks --- tends to be incomplete, imprecise, and erroneous, making it impossible to present it to the users or to feed it directly into applications. The goal of this project is to develop MauveDB, a data management system that offers a principled approach to dealing with this problem by supporting a new abstraction called "model-based views." MauveDB is built by leveraging the Apache Derby Database Management System (DBMS) codebase. Analogous to traditional database views, model-based views provide independence from the details of the underlying data generating mechanism and hide the irregularities of the data by using statistical and probabilistic "models" to present a consistent view of the data to the users. MauveDB supports a declarative language for defining model-based views, and supports declarative querying over model-based views using an extended version of SQL that supports continuous and probabilistic queries. Being a full-fledged DBMS, MauveDB also enables easy storage and archival and querying of historical data. By relieving the users of the burden of dealing with the noisy real-world data, MauveDB enables a high-impact new class of real-world applications based on networks of monitoring and sensing devices, such as traffic monitoring, location-based services, environmental monitoring, health services, and military applications. This research will be used to develop code, datasets and sensor network deployments that will be used in the new course modules being developed at the University of Maryland; the code and the course material developed will also be made freely available at the project web site http://www.cs.umd.edu/~amol/MauveDB.

IIS-0546136Amol V Deshpande [e-mail] of Maryland College ParkCAREER: MauveDB：基于模型的传感器数据用户视图现实世界的数据——尤其是由分布式测量基础设施（如传感器网络）生成的数据——往往是不完整的、不精确的和错误的，这使得它不可能呈现给用户或直接将其输入应用程序。这个项目的目标是开发MauveDB，这是一个数据管理系统，通过支持一种称为“基于模型的视图”的新抽象，它提供了一种原则性的方法来处理这个问题。MauveDB是利用Apache Derby数据库管理系统（DBMS）代码库构建的。与传统的数据库视图类似，基于模型的视图提供了与底层数据生成机制细节的独立性，并通过使用统计和概率“模型”向用户呈现一致的数据视图来隐藏数据的不规则性。MauveDB支持用于定义基于模型的视图的声明性语言，并使用支持连续查询和概率查询的SQL扩展版本支持对基于模型的视图的声明性查询。作为一个成熟的DBMS， MauveDB还支持对历史数据的轻松存储、归档和查询。通过减轻用户处理嘈杂的现实世界数据的负担，MauveDB支持基于监控和传感设备网络的高影响力的新型现实世界应用程序，例如交通监控、基于位置的服务、环境监测、医疗服务和军事应用程序。这项研究将用于开发代码、数据集和传感器网络部署，这些将用于马里兰大学正在开发的新课程模块；编写的代码和课程材料也将在项目网站http://www.cs.umd.edu/~amol/MauveDB上免费提供。