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
Mining multi-typed and dynamic graphs. Large volumes of data collected nowadays from real-world applications are often represented as graphs. The nodes and the edges of such graphs represent different types of entities and interactions, and they have time information. This project will develop algorithms that mine efficiently such multi-typed and dynamic graphs.
Next generation real-time trajectory mining for travel and transportation decision support. Mining human and vehicle trajectories in real time will enable a suite of next-generation applications such as traffic overload prediction, real-time event detection and route recommendation. This project will develop novel techniques for immediate mining of massive volumes of trajectory data as it is being continuously generated.
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