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Reputation-based Trust Framework for Composed Services. This project aims at providing a uniform and efficient framework for bootstrapping, establishing, and propagating reputation in composed Web services. Reputation is used as a key criterion for establishing trust among composed Web services. Web services are de-facto the technology of choice for the deployment of an increasing number of Web-based solutions for such emerging applications as cloud computing. Because of the distributed and dece ....Reputation-based Trust Framework for Composed Services. This project aims at providing a uniform and efficient framework for bootstrapping, establishing, and propagating reputation in composed Web services. Reputation is used as a key criterion for establishing trust among composed Web services. Web services are de-facto the technology of choice for the deployment of an increasing number of Web-based solutions for such emerging applications as cloud computing. Because of the distributed and decentralised nature of the Web, there is a need to establish a trust framework for selecting and composing Web services. The key parameter will be based on Web service reputation in delivering services.Read moreRead less
Leveraging open innovation: software and processes for engaging with online communities. The research could help transform the ability of Australian industry to design software systems and processes that (i) engage with online communities to create and enhance organizational knowledge, (ii) accelerate innovation processes, and (iii) exploit existing intellectual property (IP).
Contextual Behabiour Predictions in Dynamic Mobile E-commerce. The project aims to address behaviour prediction and develop novel techniques and tools for modelling, predicting human behaviours and making effective recommendations based on ubiquitous user behaviour data in mobile e-commerce. The techniques enable multi-source data fusion, context learning and model adaptation, and dynamic recommendation with interpretability ability. Expected outcomes include advances in data analytics theory an ....Contextual Behabiour Predictions in Dynamic Mobile E-commerce. The project aims to address behaviour prediction and develop novel techniques and tools for modelling, predicting human behaviours and making effective recommendations based on ubiquitous user behaviour data in mobile e-commerce. The techniques enable multi-source data fusion, context learning and model adaptation, and dynamic recommendation with interpretability ability. Expected outcomes include advances in data analytics theory and informed decision-making. This provides significant benefits of not only placing Australia in the forefront of exploiting multimodal user behaviour big data in dynamic e-commerce but also transforming Australian government and businesses to intelligent and contextual services adaptive to complex situations.Read moreRead less
Reputation-based trust management in crowdsourcing environments. This project aims to address the critical need for enabling trustworthy crowd sourcing environments. Expected outcomes include innovative solutions to evaluate the reputation and expertise portfolio of workers and identify malicious workers, with the ultimate goal of making personalised recommendations of trustworthy workers with expertise to the requesters who have published tasks. This project is expected to provide key solutions ....Reputation-based trust management in crowdsourcing environments. This project aims to address the critical need for enabling trustworthy crowd sourcing environments. Expected outcomes include innovative solutions to evaluate the reputation and expertise portfolio of workers and identify malicious workers, with the ultimate goal of making personalised recommendations of trustworthy workers with expertise to the requesters who have published tasks. This project is expected to provide key solutions to globally leading crowd sourcing platforms originating in Australia and benefit Australian and worldwide Internet users.Read moreRead less
Long-term Cloud Service Composition. This project proposes an economic model-based framework for the selection and composition of cloud services, thus creating an efficient market for cloud consumers and providers. The project will use economic models that incorporate a range of quality of service (QoS) parameters as a key driver for optimising the selection of cloud services and the acceptance of consumer requests. The main outcomes of this project aim to increase efficiencies in the cloud mark ....Long-term Cloud Service Composition. This project proposes an economic model-based framework for the selection and composition of cloud services, thus creating an efficient market for cloud consumers and providers. The project will use economic models that incorporate a range of quality of service (QoS) parameters as a key driver for optimising the selection of cloud services and the acceptance of consumer requests. The main outcomes of this project aim to increase efficiencies in the cloud market, benefiting consumers and providers.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160100509
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Effective Recommendation for Web of Things. This project seeks to generate novel techniques for the efficient recommendation of things by the smart use of information generated from the ‘Internet of things’. The ‘Internet of things’ will connect billions of physical things over the web, which will offer exciting capabilities to improve the quality of human lives. This project focuses on effective recommendation of things of interest, and aims to develop new techniques and a set of software tools ....Effective Recommendation for Web of Things. This project seeks to generate novel techniques for the efficient recommendation of things by the smart use of information generated from the ‘Internet of things’. The ‘Internet of things’ will connect billions of physical things over the web, which will offer exciting capabilities to improve the quality of human lives. This project focuses on effective recommendation of things of interest, and aims to develop new techniques and a set of software tools for effectively and proactively discovering and recommending things. The result of this project may underpin applications (eg smart cities) that will contribute to Australian society and the national economy.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180100251
Funder
Australian Research Council
Funding Amount
$368,446.00
Summary
Trust-aware internet of things service recommendation. This project aims to develop innovative techniques and tools to recommend Internet of Things resources as services for trustworthy and cost-effective applications. Internet of Things connects billions of physical things over the Web, offering exciting opportunities to improve life quality and reshape human society. The project is expected to underpin innovative applications like smart home, urban computing, and mobile social sensing, which c ....Trust-aware internet of things service recommendation. This project aims to develop innovative techniques and tools to recommend Internet of Things resources as services for trustworthy and cost-effective applications. Internet of Things connects billions of physical things over the Web, offering exciting opportunities to improve life quality and reshape human society. The project is expected to underpin innovative applications like smart home, urban computing, and mobile social sensing, which can significantly contribute to Australian society and the national economy. It also holds the potential to place Australia at the forefront of research and development in the vibrant and growing area of trustworthy Internet of Things.Read moreRead less
Integrating Quality Control into Crowd-sourcing Services. This project aims to contribute to the scientific foundations of quality control in crowd-sourcing services. Crowd-sourcing services harness the wisdom of large communities to solve problems. Open projects (eg Linux, Wikipedia) have successfully used crowd sourcing. Increasingly, organisations and governments are using crowd-sourcing to improve products and services. However, there are significant risks due to lack of robust quality contr ....Integrating Quality Control into Crowd-sourcing Services. This project aims to contribute to the scientific foundations of quality control in crowd-sourcing services. Crowd-sourcing services harness the wisdom of large communities to solve problems. Open projects (eg Linux, Wikipedia) have successfully used crowd sourcing. Increasingly, organisations and governments are using crowd-sourcing to improve products and services. However, there are significant risks due to lack of robust quality control methods. The project aims to contribute to the first methodology and techniques for systematic provisioning of robust crowd-sourcing quality control mechanisms. It is expected that project outcomes would contribute to lifting productivity and economic growth through quality-aware crowd sourcing service technologies.Read moreRead less
Federated Cloud Services Configuration and Orchestration. Cloud computing allows organisations to expand or contract their computing footprint based on existing demand. However, existing cloud delivery models support individual segregated and heterogeneous functionalities, which prevent effective coordinated combination of on-premise and off-premise applications, services, and resources. This project aims to significantly contribute to the scientific foundations for the model-driven and elastic ....Federated Cloud Services Configuration and Orchestration. Cloud computing allows organisations to expand or contract their computing footprint based on existing demand. However, existing cloud delivery models support individual segregated and heterogeneous functionalities, which prevent effective coordinated combination of on-premise and off-premise applications, services, and resources. This project aims to significantly contribute to the scientific foundations for the model-driven and elastic configuration and orchestration of resources over heterogeneous cloud services. The outcomes of the project aim to contribute to lifting productivity and economic growth through interoperable and elastic cloud service technologies as well as delivering appropriate skills for the new digital economy.Read moreRead less