SenShaMart: A Trusted Internet of Things Marketplace for Sensor Sharing. This project aims to devise a novel Internet of Things (IoT) sensor sharing marketplace that permits IoT applications to discover, integrate, and pay for any IoT sensor data that is made available by other parties. The project will devise highly-scalable sensor classification, query processing, and transactions solutions and incorporate them in a pair of novel blockchains that work in tandem to securely manage all the infor ....SenShaMart: A Trusted Internet of Things Marketplace for Sensor Sharing. This project aims to devise a novel Internet of Things (IoT) sensor sharing marketplace that permits IoT applications to discover, integrate, and pay for any IoT sensor data that is made available by other parties. The project will devise highly-scalable sensor classification, query processing, and transactions solutions and incorporate them in a pair of novel blockchains that work in tandem to securely manage all the information and contracts needed by IoT applications to discover, integrate, pay, and use sensors provided by another parties. These IoT advancements will provide significant economic, environmental, and social benefits via making low-cost and immediate sensing available across the world.Read moreRead less
Wattzup - a context-aware residential demand-response system for smart energy management. This project falls within the National Research Priorities an environmentally sustainable australia and frontier technologies for building and transforming Australian industries. This project will develop an innovative context aware smart energy management system that will effectively reduce consumption and wastage in residential energy usage among individual homes. It will also be an important new technolo ....Wattzup - a context-aware residential demand-response system for smart energy management. This project falls within the National Research Priorities an environmentally sustainable australia and frontier technologies for building and transforming Australian industries. This project will develop an innovative context aware smart energy management system that will effectively reduce consumption and wastage in residential energy usage among individual homes. It will also be an important new technology that will be able to support the Australian utility industry in terms of incorporating context-sensitive demand-response strategies. The key innovation of the system will be to leverage a range of rich contextual information that is easily accessible and available for effective residential energy management.Read moreRead less
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. Read moreRead less
Robust and Scalable Autonomous Landing for Drones. The aim of this project is to develop a transformative robust and scalable autonomous landing system for drones. This is the critical missing technology needed to unleash exponential growth in a potentially enormous drone delivery industry by enabling a multitude of applications to deliver goods and supplies via drones to a wide range of destinations in Australia and the world in a timely, flexible and accurate manner. Such an autonomous landi ....Robust and Scalable Autonomous Landing for Drones. The aim of this project is to develop a transformative robust and scalable autonomous landing system for drones. This is the critical missing technology needed to unleash exponential growth in a potentially enormous drone delivery industry by enabling a multitude of applications to deliver goods and supplies via drones to a wide range of destinations in Australia and the world in a timely, flexible and accurate manner. Such an autonomous landing solution would revolutionise drone technology, and propel Australia to the forefront of technology innovation. This project would benefit not only large scale delivery by drone in urban and suburban areas of Australia but also long distance delivery via drone to remote areas of Australia.Read moreRead less
Easing urban congestion through intelligent use of distributed information. Vehicle-to-vehicle wireless communication can be a solution to road traffic congestion and control without enormous additional infrastructure costs. This project will investigate the fundamental properties of such solution and to devise the practical policies and protocols resulting in interacting game-like behaviours.
Precision timekeeping infrastructure: bridging the hardware/software divide. Accurate time is essential for critical services from telecommunications to banking, and increasingly, must be performed with software clocks within computers, using hardware clocks accessed over the Internet. This project will bridge the hardware/software divide to deliver reliable and cost effective access to precise timing.
An integrative and distributed data management and workflow framework for e-research in biomedical imaging. This project will develop new tools for neuroimaging research: (i) efficient distributed infrastructure and workflow capabilities and (ii) semantic tools using existing ontological frameworks and specific neuroimaging ontologies.
These new capabilities will significantly enhance the productivity of neuroimaging research.
Resource Allocation for High-Volume Streaming Data in Data Centers. Almost all chip vendors are producing new hardware accelerators by combining several units into a single main-board, and therefore making the execution of parallel and distributed run-time primitives not efficient/scalable. This project aims to develop innovative ways to building incremental and iterative computations over massive data sets in a cluster of heterogeneous systems. This will provide a significant reduction of perfo ....Resource Allocation for High-Volume Streaming Data in Data Centers. Almost all chip vendors are producing new hardware accelerators by combining several units into a single main-board, and therefore making the execution of parallel and distributed run-time primitives not efficient/scalable. This project aims to develop innovative ways to building incremental and iterative computations over massive data sets in a cluster of heterogeneous systems. This will provide a significant reduction of performance bottlenecks when running heavily distributed data-driven applications. Expected outcomes will include resource management algorithms that optimise performance at large scale. The project will benefit many areas, including running stateful iterative stream-based data-analysis applications in data centres. Read moreRead less
Scalable Stream Processing in Hybrid Edge-Cloud Infrastructures. This project aims to develop a new computational paradigm to ensure low-latency services for streaming applications across heterogeneous Edge devices while satisfying high-throughput and scalability requirements. This project is of high significance for generating new knowledge in the area of real-time streaming using innovative algorithms that overcome the limitations of remote Cloud and distributed Edge computing. Expected outcom ....Scalable Stream Processing in Hybrid Edge-Cloud Infrastructures. This project aims to develop a new computational paradigm to ensure low-latency services for streaming applications across heterogeneous Edge devices while satisfying high-throughput and scalability requirements. This project is of high significance for generating new knowledge in the area of real-time streaming using innovative algorithms that overcome the limitations of remote Cloud and distributed Edge computing. Expected outcomes include novel programming abstractions, performance models, and control mechanisms to address complex problems for incremental and iterative computations in hybrid Edge-Cloud infrastructures. This should provide significant benefits, one of which is the optimised utilisation of limited computing resources.Read moreRead less
Modelling Energy Efficiency of Next-Generation Networks. The focus of this project is to develop modelling techniques for energy consumption in next-generation telecommunication networks. A growing problem for telecommunication providers is how to minimise the energy consumption of their networks. This is important in reducing their operational expenditure and meeting the energy demands of future growth in network traffic. There is an emerging trend towards next-generation networks (such as 5G w ....Modelling Energy Efficiency of Next-Generation Networks. The focus of this project is to develop modelling techniques for energy consumption in next-generation telecommunication networks. A growing problem for telecommunication providers is how to minimise the energy consumption of their networks. This is important in reducing their operational expenditure and meeting the energy demands of future growth in network traffic. There is an emerging trend towards next-generation networks (such as 5G wireless and network function virtualisation), which will use highly dynamic network architectures. Project outcomes are intended to enable real-time management of energy usage, and the assessment of the financial benefits of different investment strategies in network infrastructure.Read moreRead less