Real-time query processing over multi-dimensional uncertain data streams

多维不确定数据流的实时查询处理

• 批准号: DE140100679
• 负责人: Prof Ying Zhang
• 金额: $ 26.91万
• 依托单位: University of Technology Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Early Career Researcher Award
• 财政年份: 2014
• 资助国家: 澳大利亚
• 起止时间: 2014-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DE140100679
• 关键词: Real; time; query; processing; over

Real-time query processing of multi-dimensional uncertain data streams is fundamental in many applications such as environmental monitoring and location based services. This project aims to develop effective techniques to explore the massive multi-dimensional uncertain data streams in real time. The project will develop, analyse, implement and evaluate novel indexing and query processing techniques to effectively and efficiently support a set of primitive queries including rank-based queries, dominance-based queries and proximity-based queries. The results of this project will be an important complement to the development of data stream systems and will bring considerable social, economic and technological benefits to Australia.

多维不确定数据流的实时查询处理在环境监测和基于位置的服务等许多应用中是基本的。该项目旨在开发有效的技术来实时发现海量的多维不确定数据流。该项目将开发、分析、实施和评价新的索引和查询处理技术，以有效和高效地支持一系列基本查询，包括基于排名的查询、基于优势的查询和基于接近的查询。该项目的成果将是对数据流系统发展的重要补充，并将为澳大利亚带来可观的社会、经济和技术效益。