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
Software debuggers for next generation heterogeneous supercomputers. Supercomputing underpins a wide range of areas of importance to the Australian economy; mining, agriculture, engineering and medical research to name a few. It is of critical importance that software solutions in these areas behave correctly. This project will develop software tools and techniques to help locate errors in such applications.
Dynamic resource provisioning for autonomic management of cloud computing environments. In the next 20 years, service-oriented computing will play an important role in shaping the industry and will require cloud infrastructure hosting applications to deliver services at low cost. This project will develop technologies for self-managed cloud computing platforms that reduce usage and operational costs, thus transforming the Australian economy.
Algorithms and Software Systems for Management of Software-Defined Clouds. This project seeks to develop technologies for more powerful and lower-cost cloud computing. Cloud computing offers utility-oriented information technology services to users worldwide. Based on pay-as-you-go model, it enables hosting of pervasive applications from consumer, scientific and business domains. However, applications are unable to harness the full power of the cloud due to partial virtualisation and lack of int ....Algorithms and Software Systems for Management of Software-Defined Clouds. This project seeks to develop technologies for more powerful and lower-cost cloud computing. Cloud computing offers utility-oriented information technology services to users worldwide. Based on pay-as-you-go model, it enables hosting of pervasive applications from consumer, scientific and business domains. However, applications are unable to harness the full power of the cloud due to partial virtualisation and lack of integrated management of compute and network resources of data centres. This project aims to transform cloud computing by developing architectural principles for software-defined clouds; algorithms and policies for integrated allocation of compute and network resources to meet quality-of-service requirements of applications; and a novel software technology for energy-efficient management of software-defined clouds.Read moreRead less
Resource management algorithms and software systems for green cloud computing. Service-oriented computing will play an important role in shaping society. It needs cloud infrastructure to host applications for delivering services at the lowest cost. This project will create technologies for energy-efficient cloud computing, reducing its operational cost and environmental impact, thus transforming the Australian economy.
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
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.
Smart quality management for service-based systems in cloud environment. Cloud computing is a rapidly growing paradigm for Software-as-a-Service (SaaS). For enabling broad applications of a huge number of services available in the cloud, quality management for service-based systems is critical. This project aims to cover smart quality management for the whole lifetime of SaaS from service composition to service delivery. The project is expected to offer a novel solution for managing both build-t ....Smart quality management for service-based systems in cloud environment. Cloud computing is a rapidly growing paradigm for Software-as-a-Service (SaaS). For enabling broad applications of a huge number of services available in the cloud, quality management for service-based systems is critical. This project aims to cover smart quality management for the whole lifetime of SaaS from service composition to service delivery. The project is expected to offer a novel solution for managing both build-time service selection and runtime service monitoring and adaptation by inventing corresponding innovative efficient and effective strategies for quality management. Given the prediction that the SaaS market will grow from $13.5 billion in 2011 to $32.8 billion in 2016, the success of this project is anticipated to translate into scientific and economic value.Read moreRead less
A Unified Framework for Resource Management in Edge-Cloud Data Centres. Edge Computing (EC) is an emerging paradigm with a great promise for advancing Information and Communications Technologies. This project aims to investigate and provide solutions for the realization of a seemingly integrated Edge Data Centres (EDCs) with cloud environments. Using theoretical and system development approaches, the project expects to generate new knowledge for managing the resources of an EDC ecosystem. Outcom ....A Unified Framework for Resource Management in Edge-Cloud Data Centres. Edge Computing (EC) is an emerging paradigm with a great promise for advancing Information and Communications Technologies. This project aims to investigate and provide solutions for the realization of a seemingly integrated Edge Data Centres (EDCs) with cloud environments. Using theoretical and system development approaches, the project expects to generate new knowledge for managing the resources of an EDC ecosystem. Outcome of this project includes practical solutions through building novel mathematical frameworks and resource management objectives accompanied by system implementations. These outcomes will benefit both scientific and industrial communities, and mark Australian scientists as pioneers in this emerging area of research.Read moreRead less