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Adaptive data stream processing in heterogeneous distributed computing environments using real-time context

Adaptive data stream processing in heterogeneous distributed computing environments using real-time context
使用实时上下文的异构分布式计算环境中的自适应数据流处理
批准号:
DP0880874
负责人:
Prof Arkady Zaslavsky
金额:
$21.67万
依托单位:
依托单位国家:
澳大利亚
项目类别:
Discovery Projects
财政年份:
2008
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2008-01-02 至 2012-06-30

项目摘要

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中文摘要
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英文摘要
This project falls within the ARC research priority goal, Smart Information Use. The innovative contributions of this project through the development of adaptive data stream mining algorithms for heterogeneous devices will have an impact on a range of emerging application areas such as: 1. Meeting time-critical, intelligent information needs of the mobile workforce (e.g. mobile healthcare professionals, stockbrokers). 2. Improving Intelligent Transportation Systems via in-vehicle analysis and crash prevention. 3. Facilitating 'on-board' analysis in sensors that monitor the environment and patients. The project will enhance Australia's leading international role in the area of data stream processing in distributed computing environments.
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Adaptive context caching for fast concurrent access in Internet of Things
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国内基金
海外基金
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  • 项目类别:
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  • 批准年份:
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  • 负责人:
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  • 依托单位:
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
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  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
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  • 依托单位: