Self Discovery, Self Configuration and Self Healing of Enterprise Grids. Firstly, the project will assist the elevation of grid computing into mainstream computing, and by this provide a direct response to some problems identified by the working party on the Australia's ICT research and research training. Secondly, our country is an excellent consumer of IT technology. But, it needs software artifacts that could be sold. A set of proposed services will be a saleable commodity of great commercial ....Self Discovery, Self Configuration and Self Healing of Enterprise Grids. Firstly, the project will assist the elevation of grid computing into mainstream computing, and by this provide a direct response to some problems identified by the working party on the Australia's ICT research and research training. Secondly, our country is an excellent consumer of IT technology. But, it needs software artifacts that could be sold. A set of proposed services will be a saleable commodity of great commercial value. A software company that will develop its commercial version could be set up. Thirdly, the project will help Early Career Researchers in gaining an experience necessary to carry out independent research and assist in training new researchers: Postdocs, PhDs and Masters.Read moreRead less
Job Scheduling Strategies for General-Purpose High-Performance Computing Clusters. High-performance computing is moving away from specialised platforms to cheaper clusters and it is expected that clusters will become the mainstream computing platforms for general-purpose applications. One major problem that hinders the application of clusters is the lack of effective scheduling facilities to efficiently allocate system resources to meet the performance requirements of various applications. We sh ....Job Scheduling Strategies for General-Purpose High-Performance Computing Clusters. High-performance computing is moving away from specialised platforms to cheaper clusters and it is expected that clusters will become the mainstream computing platforms for general-purpose applications. One major problem that hinders the application of clusters is the lack of effective scheduling facilities to efficiently allocate system resources to meet the performance requirements of various applications. We shall design a new and innovative job scheduling system to solve this problem. The emphasis will be on practical designs in the context of real operating systems. The successful completion of this research will greatly promote a wide application of clusters.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0668447
Funder
Australian Research Council
Funding Amount
$320,000.00
Summary
Enterprise Grid Laboratory. Parallel and distributed processing can improve company profit, lower costs of design, production and deployment of new technologies, and create better business environments. To achieve this, new inexpensive parallel and distributed systems are needed. Research and initial developments show that such systems can be built based on enterprise grids. The understanding of enterprise grids, and in particular their operating systems, scheduling algorithms, load balancing, h ....Enterprise Grid Laboratory. Parallel and distributed processing can improve company profit, lower costs of design, production and deployment of new technologies, and create better business environments. To achieve this, new inexpensive parallel and distributed systems are needed. Research and initial developments show that such systems can be built based on enterprise grids. The understanding of enterprise grids, and in particular their operating systems, scheduling algorithms, load balancing, heterogeneity, transparency, applications deployment, is of the most critical importance for their development and taking them by industry and business. The new laboratory funded by this grant will place Australia at the forefront of research into the future generation of grids.Read moreRead less
Defending AI based FinTech Systems against Model Extraction Attacks. This project aims to develop new methods for defending artificial intelligence (AI) based FinTech systems from highly potent and insidious model extraction attacks whereby an adversary can steal the AI model from the system to cause intellectual property (IP) violation, business advantage disruption, and financial loss. This can be achieved by examining various attack models, creating active and utility-preserving defences, and ....Defending AI based FinTech Systems against Model Extraction Attacks. This project aims to develop new methods for defending artificial intelligence (AI) based FinTech systems from highly potent and insidious model extraction attacks whereby an adversary can steal the AI model from the system to cause intellectual property (IP) violation, business advantage disruption, and financial loss. This can be achieved by examining various attack models, creating active and utility-preserving defences, and inventing non-removable watermarks on AI models. The outcomes are new tools for securing AI-based FinTech systems before deployment and tools for IP violation forensics post-deployment. Such capabilities are beneficial by improving the security and safety of FinTech systems and other nationally critical AI systems.Read moreRead less
Privacy preservation for personalised smart devices. The goal of this project is to build a privacy preservation framework for personalised smart devices with both immediate and long-term applications in a range of industries. The novel theoretical contributions include a privacy-preservation mechanism that guards against attacks by intelligent tools, a model and metrics that distinguish between object detection and object recognition, and allowing users to specify their desired level of privacy ....Privacy preservation for personalised smart devices. The goal of this project is to build a privacy preservation framework for personalised smart devices with both immediate and long-term applications in a range of industries. The novel theoretical contributions include a privacy-preservation mechanism that guards against attacks by intelligent tools, a model and metrics that distinguish between object detection and object recognition, and allowing users to specify their desired level of privacy guarantee. Practically, these solutions have clear economic and public-safety benefits. The solutions will accelerate AI device development, advance smart technologies based on individual behaviours, and guarantee personal data privacy against both human attackers and adversarial algorithms. Read moreRead less
Decentralised Data Management for Edge Caching Systems in 5G. This project aims to deliver a suite of decentralised data management approaches to facilitate practical edge caching systems in the 5G mobile edge computing (MEC) environment. Edge caching offers great promises for Australia's post-COVID economic recovery and resilience with the ability to enable real-time mobile and IoT software applications in various domains, e.g., telehealth, online learning/working, advanced manufacturing, etc. ....Decentralised Data Management for Edge Caching Systems in 5G. This project aims to deliver a suite of decentralised data management approaches to facilitate practical edge caching systems in the 5G mobile edge computing (MEC) environment. Edge caching offers great promises for Australia's post-COVID economic recovery and resilience with the ability to enable real-time mobile and IoT software applications in various domains, e.g., telehealth, online learning/working, advanced manufacturing, etc. This project tackles new and urgent challenges in edge data storage, manipulation, maintenance, and protection with optimisation, distributed consensus, graph analytics, and cryptography techniques. The outcomes should build the pillars of edge caching systems and promote Australia's 5G software innovations.Read moreRead less
A safety-preserving ecosystem for autonomous driving. In this project, Macquarie University will collaborate with UTS and SilverQuest to develop an innovative safety-preserving ecosystem for autonomous driving. This system will not only be adopted by SilverQuest’s customers (automotive companies) to secure their latest autonomous driving models, but also be commercialised as a toolset that can be plugged into existing autonomous vehicles to detect and prevent malicious attacks on autonomous driv ....A safety-preserving ecosystem for autonomous driving. In this project, Macquarie University will collaborate with UTS and SilverQuest to develop an innovative safety-preserving ecosystem for autonomous driving. This system will not only be adopted by SilverQuest’s customers (automotive companies) to secure their latest autonomous driving models, but also be commercialised as a toolset that can be plugged into existing autonomous vehicles to detect and prevent malicious attacks on autonomous driving models. The project will lead to two innovations: in theory design an attack detection and prevention ecosystem for autonomous driving and in application implement a safety analysis toolset for industry-scale autonomous systems.Read moreRead less
Dynamic Load Balancing for Systems under Heavy Traffic Demand and High Task Size Variation. Current computer systems cannot cope with extremely heavy traffic demands. A solution to such a difficult problem is to dynamically balance the load across the system's servers. Several solutions have been proposed and demonstrate advances in certain limited conditions (e.g. uniform distribution). However fundamental research work must be undertaken beyond the current way of dealing with the core issues o ....Dynamic Load Balancing for Systems under Heavy Traffic Demand and High Task Size Variation. Current computer systems cannot cope with extremely heavy traffic demands. A solution to such a difficult problem is to dynamically balance the load across the system's servers. Several solutions have been proposed and demonstrate advances in certain limited conditions (e.g. uniform distribution). However fundamental research work must be undertaken beyond the current way of dealing with the core issues of load balancing. Accounting for realistic conditions is a theoretical and practical challenge. This project aims at developing theoretical and computational models for dynamic task distribution for the studied systems. The benefits include substantial improvement of the system response time.Read moreRead less
Megha: Utility-Oriented Federation of Cloud Computing Environments for Scaling of Application Services. In the next 20 years, service-oriented computing will play an important role in shaping the industry, impacting the way business is conducted and how services are delivered and managed. This paradigm will have major impact on the services economy, which contributes significantly towards Australia's GDP. With the increased demand for delivering services to a large number of users, providers are ....Megha: Utility-Oriented Federation of Cloud Computing Environments for Scaling of Application Services. In the next 20 years, service-oriented computing will play an important role in shaping the industry, impacting the way business is conducted and how services are delivered and managed. This paradigm will have major impact on the services economy, which contributes significantly towards Australia's GDP. With the increased demand for delivering services to a large number of users, providers are looking for novel ways of hosting their application services on Clouds at low cost while meeting users' quality of service expectations. This project develops novel utility-oriented technologies for federation of Clouds to support scaling of application services and thereby, transform the Australian service industry and economy.Read moreRead less
Service Level Agreement (SLA)-oriented Resource Allocation for Data Centers and Cloud Computing Systems. In the next 20 years, service-oriented computing will play an important role in shaping the industry and the way business is conducted and services are delivered and managed. This paradigm will have major impact on service economy, which contributes significantly towards Australia's GDP. The service sector, which includes health, financial, and government services, involves significant intera ....Service Level Agreement (SLA)-oriented Resource Allocation for Data Centers and Cloud Computing Systems. In the next 20 years, service-oriented computing will play an important role in shaping the industry and the way business is conducted and services are delivered and managed. This paradigm will have major impact on service economy, which contributes significantly towards Australia's GDP. The service sector, which includes health, financial, and government services, involves significant interaction between clients and providers. With increasing dependency on ICT technologies in their realization, major advances are required in service-driven allocation of resources to competing applications. This project develops technologies for Service Level Agreement (SLA)-based allocation of Data Center/Cloud computing system resources to applications.Read moreRead less