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Field of Research : Artificial Intelligence and Image Processing
Research Topic : Internet
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  • Funded Activity

    Linkage Projects - Grant ID: LP130101038

    Funder
    Australian Research Council
    Funding Amount
    $280,000.00
    Summary
    Business goals and analytics driven management of cloud computing based information technology infrastructure. Businesses and government are dependent on the reliability of their information technology (IT) infrastructure to provide services to customers. While cloud computing offers a promising IT platform, greater resilience is needed. This project will develop techniques to reliably manage cloud platforms, and thus improve the competitiveness of Australian business.
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    Funded Activity

    Linkage Projects - Grant ID: LP140100816

    Funder
    Australian Research Council
    Funding Amount
    $300,000.00
    Summary
    Cost efficient scheduling of big data application workflows on cloud through information correlation. Information correlation in and between big data application workflows scheduled on the cloud can help to significantly reduce overall scheduling costs by avoiding the execution of many correlated workflow activities. This project aims to systematically investigate such correlation for cost efficient scheduling. The expected outcomes are: establishing information correlation based scheduling rese .... Cost efficient scheduling of big data application workflows on cloud through information correlation. Information correlation in and between big data application workflows scheduled on the cloud can help to significantly reduce overall scheduling costs by avoiding the execution of many correlated workflow activities. This project aims to systematically investigate such correlation for cost efficient scheduling. The expected outcomes are: establishing information correlation based scheduling research and practical solutions for this important cloud and big data research area; benefiting key big data application areas on the cloud, such as hospitals, insurance companies and government information services; and helping to maintain Australia at the forefront of cloud and big data research with innovative industry applications.
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    Funded Activity

    Linkage Projects - Grant ID: LP110200321

    Funder
    Australian Research Council
    Funding Amount
    $255,000.00
    Summary
    A fast and effective automated insider threat detection and prediction system. Threats from insiders directly compromises the security, privacy and integrity of Australian e-commerce, large databases and communication channels. This project will provide an essential step in combating this criminal activity by developing methods to detect such threats and secure the public's information against exposure and identity theft.
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    Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE140100007

    Funder
    Australian Research Council
    Funding Amount
    $391,947.00
    Summary
    An Adaptive and Intelligent Service Level Agreement Negotiation System for Web-Based Service-Oriented Grid Computing. This project will develop an intelligent negotiation system for Service Level Agreement (SLA) in web-based service-oriented grid computing. The specific aims include computational models for SLA negotiation representation, intelligent management of SLA negotiation procedures and adaptive learning for SLA negotiation system improvement. The significance of this project lies in its .... An Adaptive and Intelligent Service Level Agreement Negotiation System for Web-Based Service-Oriented Grid Computing. This project will develop an intelligent negotiation system for Service Level Agreement (SLA) in web-based service-oriented grid computing. The specific aims include computational models for SLA negotiation representation, intelligent management of SLA negotiation procedures and adaptive learning for SLA negotiation system improvement. The significance of this project lies in its promises to realise the automation of SLA negotiation through using intelligent and computational models, so as to greatly improve the efficiency of web-based service systems. The research results will enable software engineers to develop more robust and intelligent service-oriented systems through web-based computational grids.
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    Showing 1-4 of 4 Funded Activites

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