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Field of Research : Distributed Computing not elsewhere classified
Scheme : Discovery Projects
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Distributed Computing not elsewhere classified (4)
Analysis of Algorithms and Complexity (2)
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP220103044

    Funder
    Australian Research Council
    Funding Amount
    $262,500.00
    Summary
    Intelligent Incident Management for Software-Intensive Systems. This project aims to develop intelligent incident management methods for software-intensive systems. Incidents are unplanned system interruptions or outages that could affect the normal operations of an organization and cause huge economic loss. This project expects to develop innovative, Artificial Intelligence (AI) based methods for automated incident management, including incident detection, incident identification, and incident .... Intelligent Incident Management for Software-Intensive Systems. This project aims to develop intelligent incident management methods for software-intensive systems. Incidents are unplanned system interruptions or outages that could affect the normal operations of an organization and cause huge economic loss. This project expects to develop innovative, Artificial Intelligence (AI) based methods for automated incident management, including incident detection, incident identification, and incident triage. Expected outcomes of the project include a set of novel methods and tools that can facilitate incident diagnosis and resolution. This project will provide significant benefits, such as improving the availability of software-intensive systems and reducing the economic loss caused by the incidents.
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    Funded Activity

    Discovery Projects - Grant ID: DP110104560

    Funder
    Australian Research Council
    Funding Amount
    $300,000.00
    Summary
    Exploiting dynamic information in mobile networks. Mobile and wireless networks are ideal for Australia as they provide both low set-up costs and environmentally robust infrastructures. Exploiting mobility to enhance efficiency and cost will place Australia at the forefront of research in mobile networking and will contribute to the worldwide effort towards sustainability and survivability.
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    Funded Activity

    Discovery Projects - Grant ID: DP170102794

    Funder
    Australian Research Council
    Funding Amount
    $310,000.00
    Summary
    Local computations in dynamic networks. This project aims to identify and exploit dynamic networks, and investigate how locally available knowledge affects the computability or the communication complexity of solving a problem. Mobile, wireless, social and other ubiquitous communication networks involve autonomous and highly dynamic entities, but these are often treated as a liability instead of an asset, even when they enhance the network. Local knowledge in the entities’ neighbourhood can make .... Local computations in dynamic networks. This project aims to identify and exploit dynamic networks, and investigate how locally available knowledge affects the computability or the communication complexity of solving a problem. Mobile, wireless, social and other ubiquitous communication networks involve autonomous and highly dynamic entities, but these are often treated as a liability instead of an asset, even when they enhance the network. Local knowledge in the entities’ neighbourhood can make the network more efficient. This project is expected to contribute to the worldwide effort towards advanced technologies and place Australia at the forefront of research in mobile and social networking.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP200102940

    Funder
    Australian Research Council
    Funding Amount
    $250,000.00
    Summary
    Data-driven Approach to Resilient Online Service Systems. This project aims to develop a data-driven approach to improving the resilience of online service systems. Many software systems are now provided as online services via the Internet on a 24/7 basis. Although a lot of effort has been devoted to service quality assurance, in reality, online service systems still encounter many incidents and fail to satisfy user requests. This project expects to develop innovative data-driven methods for eff .... Data-driven Approach to Resilient Online Service Systems. This project aims to develop a data-driven approach to improving the resilience of online service systems. Many software systems are now provided as online services via the Internet on a 24/7 basis. Although a lot of effort has been devoted to service quality assurance, in reality, online service systems still encounter many incidents and fail to satisfy user requests. This project expects to develop innovative data-driven methods for effective fault identification, fault localization, and failure prediction. Expected outcomes of this project include novel techniques and tools for maintaining online service systems. This project will provide significant benefits, such as improving the resilience and reliability of our cyber infrastructure.
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    Showing 1-4 of 4 Funded Activites

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