Economic Scheduling for Efficient Management of Clusters and their Cooperative Federation. Clusters of commodity computers have emerged as mainstream parallel and distributed platforms for high-performance computing. They are presented together as a single, unified resource to the end users by middleware technologies such as resource management and scheduling (RMS) systems. However, existing cluster RMS systems continue to use system centric models rather than utility models for the management a ....Economic Scheduling for Efficient Management of Clusters and their Cooperative Federation. Clusters of commodity computers have emerged as mainstream parallel and distributed platforms for high-performance computing. They are presented together as a single, unified resource to the end users by middleware technologies such as resource management and scheduling (RMS) systems. However, existing cluster RMS systems continue to use system centric models rather than utility models for the management and allocation of resources. There is also little emphasis on the construction of a cooperative federation of clusters to facilitate transparent sharing of resources. To enhance the value delivered by shared clusters, we propose the use of computational economy metaphor in resource management. This project aims to develop (A) computational economy based scheduling policies for allocation of resources and (B) a software infrastructure for creation of cooperative federation of distributed clusters.Read moreRead less
Computer Vision Optimization Problems Using Machine Learning. Computer Vision concerns itself with understanding the world through the analysis of images obtained by a video or still camera. An important application is tracking of people in video and modelling their movements. This has evident applications in security, sport and entertainment. By enabling the computer to capture the motion of a subject in a video, we may detect suspicious activity in security, analyze the motion (golf-swing, ....Computer Vision Optimization Problems Using Machine Learning. Computer Vision concerns itself with understanding the world through the analysis of images obtained by a video or still camera. An important application is tracking of people in video and modelling their movements. This has evident applications in security, sport and entertainment. By enabling the computer to capture the motion of a subject in a video, we may detect suspicious activity in security, analyze the motion (golf-swing, diving style) of a sports-person, or capture the motion of an actor for animation or game applications. Development of a reliable technology requires new optimization techniques, which will place Australia at the forefront of the application of such research, commercially and for the public benefit.Read moreRead less
Fuzzy modelling and design of complex networked systems. This project aims to develop analysis and synthesis approaches for non-linear networked control systems, including modelling, stability analysis and design problems. The non-linear effects and analysis of networked control systems have received considerable attention because of the universal existence of nonlinearities in practice. Network-based non-linear systems are widely used but face problems from non-linearities and networks. This pr ....Fuzzy modelling and design of complex networked systems. This project aims to develop analysis and synthesis approaches for non-linear networked control systems, including modelling, stability analysis and design problems. The non-linear effects and analysis of networked control systems have received considerable attention because of the universal existence of nonlinearities in practice. Network-based non-linear systems are widely used but face problems from non-linearities and networks. This project will establish a software-based nonlinear networked control system platform to test the presented algorithms and strengthen the scenarios in applications. This project is expected to increase Australian excellence in cyber-security and advanced manufacturing.Read moreRead less
Cross-Entropy Methods in Complex Biological Systems. The Cross-Entropy method provides a powerful new way to find superior solutions to complicated optimisation problems in biology, ranging from better design and implementation of medical treatments to an increased understanding of complex ecosystems.
Discovery Early Career Researcher Award - Grant ID: DE180100923
Funder
Australian Research Council
Funding Amount
$348,575.00
Summary
Efficient second-order optimisation algorithms for learning from big data. This project aims to apply a diverse range of scientific computing techniques to design and implement new, second-order methods that can surpass first-order alternatives in the next generation of optimisation methods for large-scale machine learning (ML). Scalable optimisation methods are now an integral part ML in the presence of “big data”. While the development of efficient first-order methods has grown in the ML comm ....Efficient second-order optimisation algorithms for learning from big data. This project aims to apply a diverse range of scientific computing techniques to design and implement new, second-order methods that can surpass first-order alternatives in the next generation of optimisation methods for large-scale machine learning (ML). Scalable optimisation methods are now an integral part ML in the presence of “big data”. While the development of efficient first-order methods has grown in the ML community, second-order alternatives have largely been ignored. The project expects to facilitate the development of more effective ML algorithms for extraction of knowledge from large data sets.Read moreRead less
Generalizing Multi-level Decision Support Handling Multi-objectives, Multi-followers and Uncertainty for Critical Resource Planning. The proposed multi-level optimisation techniques and fuzzy multi-objective multi-follower multi-level decision support system can be used widely in government and industries of Australia to reduce decision blindness, improve decision effectiveness, and therefore has the potential to increase the competitiveness of organizations. Many organizations in Australia are ....Generalizing Multi-level Decision Support Handling Multi-objectives, Multi-followers and Uncertainty for Critical Resource Planning. The proposed multi-level optimisation techniques and fuzzy multi-objective multi-follower multi-level decision support system can be used widely in government and industries of Australia to reduce decision blindness, improve decision effectiveness, and therefore has the potential to increase the competitiveness of organizations. Many organizations in Australia are decentralized and have a hierarchical structure. The proposed techniques are extremely effective for such kinds of organizations in critical planning, management and policy making, including tourism resource planning, water resource management, financial planning, healthcare planning, land-use planning, production planning, transportation planning, and power market planning.Read moreRead less
Group Decision Support Systems for Fuzzy Multi-objective Decision Problems. Most real-world decisions in organisations are made by groups addressing multi-objectives. Further, the decision objectives are frequently characterized by fuzzy parameters and decision makers often utilise fuzzy judgments in attempting to reach optimal solutions. The project is the first to address all these issues: fuzzy objectives, fuzzy judgements, multi-objectives and groups in decision-making. The project will deve ....Group Decision Support Systems for Fuzzy Multi-objective Decision Problems. Most real-world decisions in organisations are made by groups addressing multi-objectives. Further, the decision objectives are frequently characterized by fuzzy parameters and decision makers often utilise fuzzy judgments in attempting to reach optimal solutions. The project is the first to address all these issues: fuzzy objectives, fuzzy judgements, multi-objectives and groups in decision-making. The project will develop a set of interactive decision-making methods to be used by groups solving fuzzy multi-objective decision problems with the allowance of fuzzy judgements, then develop a group decision support system to implement the methods. These outcomes can be immediately used by suitable Australian organisations.Read moreRead less
Control of Markov jumping processes with constraints. The project outcomes will constitute the set of tools for modelling and optimisation of complex stochastic systems and will lead to new and more precise characterisations of optimal behaviour of complex controllable systems arising in Resource Management, Engineering and Telecommunications. Therefore, the project fits to the research priority areas Breakthrough Science and Frontier Technologies in the topic of mathematical modelling and optim ....Control of Markov jumping processes with constraints. The project outcomes will constitute the set of tools for modelling and optimisation of complex stochastic systems and will lead to new and more precise characterisations of optimal behaviour of complex controllable systems arising in Resource Management, Engineering and Telecommunications. Therefore, the project fits to the research priority areas Breakthrough Science and Frontier Technologies in the topic of mathematical modelling and optimisation of Complex Systems.Read moreRead less
Computer Assisted Research Mathematics and its Applications. The mathematics community will benefit from infusion of new computer-assisted techniques and modalities for research and training post-graduate students, both from my pure research project and through development of an associated research centre. Ultimately, this should also help more school students learn mathematics well and so play a part in addressing Australia's skill shortage. Also, the work on optimization algorithms promises to ....Computer Assisted Research Mathematics and its Applications. The mathematics community will benefit from infusion of new computer-assisted techniques and modalities for research and training post-graduate students, both from my pure research project and through development of an associated research centre. Ultimately, this should also help more school students learn mathematics well and so play a part in addressing Australia's skill shortage. Also, the work on optimization algorithms promises to improve the performance and quality of many practical signal reconstruction methods. These are used by varied Australian industries from telecommunication to mining and by researchers in the digital arts and fields such as astronomy, physics, chemistry, bioscience, geoscience, engineering and medicine.Read moreRead less
Efficient and Fair Traffic Control for a Multi-Service Internet. Australia relies very heavily on its
telecommunications infrastructure due to its
geographic dispersion. For the same reason,
it cannot afford to invest in inefficient infrastructure.
Our novel and practical Internet congestion control scheme will overcome current weaknesses in the Internet, and will enable the Australian telecommunication service industry to provide a better quality of service to the customers (including Aust ....Efficient and Fair Traffic Control for a Multi-Service Internet. Australia relies very heavily on its
telecommunications infrastructure due to its
geographic dispersion. For the same reason,
it cannot afford to invest in inefficient infrastructure.
Our novel and practical Internet congestion control scheme will overcome current weaknesses in the Internet, and will enable the Australian telecommunication service industry to provide a better quality of service to the customers (including Australian industries and rural communities) and at lower cost. This project will put Australia on the international stage as a leading contributor to Internet technology. We will provide training for PhD students and postdoctoral fellows in the important area of Internet traffic engineering and control.Read moreRead less