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Profile Driven Architecture for Data Management in Pervasive Environments

Profile Driven Architecture for Data Management in Pervasive Environments
用于普遍环境中数据管理的配置文件驱动架构
批准号:
0209001
负责人:
Anupam Joshi
金额:
$15.32万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2002
资助国家:
美国
项目状态:
已结题
起止时间:
2002-08-15 至 2006-07-31

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项目成果

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中文摘要
翻译
掌上电脑、嵌入式设备和可穿戴设备的功能不断增强,以及无处不在的连接的出现,代表了设备间交互的新范式。 在移动的数据管理领域,一个新的研究前景是开放的,移动设备不仅从有线来源收集和交换信息,而且从它们的环境和彼此之间收集和交换信息。每台设备既是数据源,又是数据消费者,追求其个人和集体任务。本文提出了一个新的研究计划,旨在实现基于自治的,动态的和自适应的组件(硬件以及asoftware),这是位于彼此附近的合作普适计算系统。这与PDA和网络服务之间的“基于基础设施”的移动客户端/服务器计算有很大的不同。拟议的研究将使一类新的应用程序,有效地利用移动性和普及计算。新的原型和应用程序将建立在移动的信息管理的背景下,在动态社区的ad-hoc服务和设备。该研究团队是位于巴尔的摩县马里兰州大学(UMBC)的eBiquity研究小组的一部分,将与来自IBM、富士通和惠普等行业的合作者密切互动。
英文摘要
The constant enhancements in capabilities of palmtop, embedded andwearable devices, together with the advent of pervasive connectivity,represents a new paradigm for interaction among devices. A new vistais open for research in the area of mobile data management wheremobile devices gather and exchange information from not just wiredsources, but also their environment and one another. Each device isboth a data source and a data consumer pursuing its individual andcollective tasks. New ideas are proposed for a research program aimedat realizing ubiquitous computing systems based on the cooperation ofautonomous, dynamic and adaptive components (hardware as well assoftware) which are located in vicinity of one another. This issignificantly different from ``infrastructure-based'' mobileclient/server computing between PDAs and network services. Theproposed research will enable a new class of applications thateffectively exploit mobility and pervasive computing. New prototypesand applications will be built in the context of mobile informationmanagement within dynamic communities of ad-hoc services anddevices. The research team is part of the eBiquity research grouplocated at The University of Maryland, Baltimore County (UMBC) andwill closely interact with collaborators from industry including IBM,Fujitsu, and HP.
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会议论文
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EAGER:X+CS: CS Pathways for Non CS majors
EAGER: T2K: From Tables to Knowledge
Collaborative Proposal: ITR-SemDIS: Discovering Complex Relationships in the Semantic Web
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