Cloud-data centres resource allocation under bursty conditions. Cloud-data centres resource allocation under bursty conditions. The project aims to design, implement, and integrate solutions to manage resources in cloud data centres (CDCs), especially when operating under bursty workload conditions. CDCs are expected to assure performance whilst optimising resource usage at a minimum cost, but efficiently providing resources with specific performance requirements can be difficult. This project i ....Cloud-data centres resource allocation under bursty conditions. Cloud-data centres resource allocation under bursty conditions. The project aims to design, implement, and integrate solutions to manage resources in cloud data centres (CDCs), especially when operating under bursty workload conditions. CDCs are expected to assure performance whilst optimising resource usage at a minimum cost, but efficiently providing resources with specific performance requirements can be difficult. This project intends to develop scalable solutions with industry approved software plug-ins. This is expected to affect both trustworthy information and communications technology (ICT) infrastructure (delivering more resilient CDCs) and economic sustainability (reducing CDC usage cost for both users and providers) of today’s computerised society.Read moreRead less
Contention-Aware Scheduling in Cloud Data Centres. This project aims to design, implement, and integrate solutions to improve resource use of private cloud data centres (CDCs). CDCs are expected to guarantee performance while optimising resource usage at a minimum cost. This incurs technical challenges that must be tackled to efficiently provision on-demand resources with specific performance requirements. The project intends to push the applicability of both current techniques and the ones to b ....Contention-Aware Scheduling in Cloud Data Centres. This project aims to design, implement, and integrate solutions to improve resource use of private cloud data centres (CDCs). CDCs are expected to guarantee performance while optimising resource usage at a minimum cost. This incurs technical challenges that must be tackled to efficiently provision on-demand resources with specific performance requirements. The project intends to push the applicability of both current techniques and the ones to be designed in this project to industry-scale CDCs, and identify metrics and variables to holistically control service-level agreements of hosted applications. Scalable solutions with industry approved software plug-ins are the major outcomes of this project. The outcomes of this project will have a substantial impact on both environmental (lowering energy consumption to lead to greener infrastructure) and economic sustainability (reducing cloud usage cost for both users and providers) of today’s much computerised society.Read moreRead less
Energy-Efficient Computing: Expanding the Role of Scheduling in Cloud Data Centres. Cloud data centres have become increasingly large-scale to meet ever increasing computing and storage capacity. The requirement of uninterrupted service availability has also contributed to such expansion. However, this relentless pursuit of high performance and high availability has led to serious resource over-provisioning and, in turn, low performance to energy consumption ratios. The impact of this poor resou ....Energy-Efficient Computing: Expanding the Role of Scheduling in Cloud Data Centres. Cloud data centres have become increasingly large-scale to meet ever increasing computing and storage capacity. The requirement of uninterrupted service availability has also contributed to such expansion. However, this relentless pursuit of high performance and high availability has led to serious resource over-provisioning and, in turn, low performance to energy consumption ratios. The impact of this poor resource management goes beyond the issue of cloud data centre efficiency, including excessive carbon footprint. This project aims to develop new energy-aware scheduling and resource allocation algorithms to provide energy-efficient solutions. These solutions exploit both workload and system diversity in cloud data centres.Read moreRead less
A cloud computing environment for managing foreign exchange risk. This project involves using parallel computing and machine learning to improve the real-time handling of a bank's foreign exchange risk. It will lead to improved techniques to manage exchange rate variations, enabling banks to better assess their risk and will ultimately lead to improved services for Australian companies.
Consumer-centric Adaptive Quality-assured Cloud Services Brokerage. This project aims to create a consumer-centric brokerage solution for managing cloud service provision. This aims to ensure consumers can receive cloud services that best satisfy their quality requirements in the most cost-effective manner in the presence of constant changes in performance and cost of cloud services available from different cloud providers. The intended outcome is a novel cloud brokerage framework and the associ ....Consumer-centric Adaptive Quality-assured Cloud Services Brokerage. This project aims to create a consumer-centric brokerage solution for managing cloud service provision. This aims to ensure consumers can receive cloud services that best satisfy their quality requirements in the most cost-effective manner in the presence of constant changes in performance and cost of cloud services available from different cloud providers. The intended outcome is a novel cloud brokerage framework and the associated mechanisms for proactive identification, prevention and mediation of cloud service-level agreement violation in the best interest of the cloud users. The findings of the project will support enterprises across Australian economy in shifting from traditional IT systems to the ubiquitous cloud computing that has already been recognised as a core enabling IT technology in addressing the societal challenge of lifting productivity and economic growth in a rapidly changing world economy.Read moreRead less
Visual analytics for high volume multi attribute financial data streams. While our ability to accumulate data (such as financial data) is increasing, our capability to analyse them is still inadequate despite technological improvements. The new Visual Analytics methods will allow processing of the massive and time-varying data so that the time-critical decisions can be made with minimum effort.
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
A personalised social network based location search and recommender system. Inspired by the advance and popularity of social networks, this project will investigate new personalised recommendation techniques in social networks. Mobile services will be developed for users to search and obtain recommendations as they wish based on their social relationships and behaviour in the social group.
Visual interaction methods for clustered graphs. This project aims to improve human understanding of huge network data sets, such as those arising in social networks, biological networks, and very large software structures. The project will enable analysts to explore and interact with such data sets, leading to better understanding.
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