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CAREER: MACAQUE - Managing Ambiguity and Complexity in Acquisitional QUery Environments

CAREER: MACAQUE - Managing Ambiguity and Complexity in Acquisitional QUery Environments
职业:MACAQUE - 管理习得查询环境中的歧义和复杂性
批准号:
0448124
负责人:
Samuel Madden
金额:
$0.0万
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
项目状态:
已结题
起止时间:
2005-06-01 至 2011-05-31

项目摘要

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中文摘要
翻译
Macaque是一种感知不确定性的数据收集系统,可在资源有限的环境(如传感器或其他无线网络)中提供节能和带宽高效的查询。Macaque提供了一个类似SQL的查询界面,用于指定应该在何时何地获取数据。表示为置信度或概率分布的不确定性信息作为数据模型的一部分提供,并与每个原始读数或处理结果一起携带。通过明确表示不确定性,Macaque为用户提供了信息和界面,使他们能够更好地解释某些环境的实际状态,即使在存在丢失数据或故障感知节点的情况下也是如此。Macaque是作为一套开源数据管理工具开发的,旨在允许用户从无线传感器网络捕获数据,并在考虑不精确性和不确定性的同时回答有关该数据的查询。该项目对社区产生了广泛的影响,让本科生和研究生参与麻省理工学院的数据库系统研究,并形成了土木工程/EECS本科生传感联合实验室的关键组成部分。关于猕猴的更多信息,以及指向源代码、数据集、出版物、演示文稿和课程材料的指针(所有这些都是免费提供的),可以在项目网站(http://db.csail.mit.edu/macaque/).)上找到
英文摘要
MACAQUE is an uncertainty-aware data collection system that provides energy- and bandwidth-efficient querying in resource-limited environments, such as sensor or other wireless networks. MACAQUE provides an SQL-like query interface for specifying when and where data should be acquired. Uncertainty information, represented as confidences or probability distributions, is provided as a part of the data model, and carried with every raw reading or processed result. By explicitly representing uncertainty, MACAQUE provides users with information and interfaces that enable them to better interpret the actual state of some environment even in the presence of lost data or failed sensing nodes. MACAQUE is developed as a suite of open source data management tools designed to allow the user's to capture data from wireless sensor networks and to answer queries about that data while taking into account imprecision and uncertainty. The project has a broad impact on the community by involving undergraduate and graduate students in database systems research at MIT as well as in forming a key component of a joint Civil Engineering/EECS undergraduate sensing laboratory. More information about MACAQUE, as well as pointers to source code, data sets, publications, presentations, and course materials (all of which are made freely available) are available on the project web site (http://db.csail.mit.edu/macaque/).
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会议论文
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