II-NEW: An Infrastructure for Scalable Data Dissemination and Query Evaluation in Mobile Environments

II-新：移动环境中可扩展数据传播和查询评估的基础设施

• 批准号: 0855251
• 负责人: Wei-Shinn Ku
• 金额: $ 16.47万
• 依托单位: Auburn University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-10-01 至 2012-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0855251&HistoricalAwards=false
• 关键词: II; NEW; Infrastructure; Scalable; Data

This project is building a scalable mobile computing emulation infrastructure named ScalableSQ. With the popularity of mobile computing, there is an increasing need to allow mobile users to access data and process queries ubiquitously through their mobile devices. In the past decade, research efforts have been investigateing spatial query processing and pervasive data airing in mobile computing environments. However, the research issues on scalable data dissemination and efficient spatial query processing for supporting large-scale mobile computing systems have not been well explored. The main objective of this project is to design and develop a scalable data dissemination and query evaluation infrastructure for querying, indexing, and routing datasets to support novel mobile applications. Specific research challenges being addressed include design of highly scalable spatial query evaluation mechanisms, broadcast channel access bounds to speed on-air data accesses, effective memory management strategies to reduce access latency and tuning time, and novel request routing techniques to facilitate data sharing based query processing. In addition to research, this project also benefits education by providing hands-on experience in mobile computing through the ScalableSQ infrastructure to both undergraduate and graduate students. Furthermore, the PIs will organize workshops at Tuskegee University (an HBCU) and collaborate with industrial partners to disseminate new discoveries from this project as the outreach component. The results of this project will be disseminated as research papers and as freely available tools in the project website at http://www.eng.auburn.edu/~weishinn/ScalableSQ.html.

该项目正在构建一个名为ScalableSQ的可伸缩移动的计算仿真基础设施。随着移动的计算的普及，越来越需要允许移动的用户通过他们的移动的设备无处不在地访问数据和处理查询。在过去的十年中，研究工作一直在研究空间查询处理和普适数据广播在移动的计算环境。然而，支持大规模移动的计算系统的可扩展数据分发和高效的空间查询处理的研究问题还没有得到很好的探讨。这个项目的主要目标是设计和开发一个可扩展的数据传播和查询评估基础设施，查询，索引和路由数据集，以支持新的移动的应用程序。正在解决的具体研究挑战包括高度可扩展的空间查询评估机制的设计，广播信道访问边界，以加快空中数据访问，有效的内存管理策略，以减少访问延迟和调整时间，以及新的请求路由技术，以促进基于数据共享的查询处理。除了研究之外，该项目还通过ScalableSQ基础设施为本科生和研究生提供移动的计算实践经验，从而使教育受益。此外，PI将在塔斯基吉大学（HBCU）组织研讨会，并与工业合作伙伴合作，传播该项目的新发现，作为外联部分。该项目的成果将作为研究论文和项目网站http://www.eng.auburn.edu/~weishinn/ScalableSQ.html上免费提供的工具予以传播。