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SUMMARY
Cloud Computing is becoming an increasingly popular platform for high-performance computing, supplanting large High Performance Computing (HPC) clusters and supercomputing centres. Nevertheless, some scientific applications still require special architectures available only in supercomputers.
This project aims to bridge the gap between HPC and Cloud Computing by merging Cloud Computing’s elasticity and easy resource allocation with supercomputing ‘s processing power. The scientific analysis of Big Data is one area which could benefit from such a development. The project will utilise interdisciplinary technology and methods to meet various challenges arising from this objective such as the security and privacy of the stored data, the efficiency of the processing algorithms, and the management of the infrastructure.
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SOLUTIONS
- Combining Cloud Computing’s elasticity and efficient resource allocation with supercomputing ‘s processing power to create secure and efficient Big Data storage
- Producing secure and efficient storage and sharing schemes for Big-data cloud-computing activities through the application of interdisciplinary technologies and methodologies such as cryptology and trusted computing
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