Optimizing Data Transfers in Large-Scale Parallel/Distributed Systems

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  • Competition Funded Project (Students Worldwide)
This research project is one of a number of projects at this institution. It is in competition for funding with one or more of these projects. Usually the project which receives the best applicant will be awarded the funding. Applications for this project are welcome from suitably qualified candidates worldwide. Funding may only be available to a limited set of nationalities and you should read the full department and project details for further information.

Project description

As applications become more and more data-intensive (large volumes of data, cf big data) and as there is a demand for more and more energy-friendly parallel/distributed systems, one key problem that needs to be addressed is the optimization of data transfers (for example in terms of energy consumed). The goal of this project will be to devise application/data mapping schemes that take optimize data transfers particularly with respect to energy consumption.

Keywords: Large-Scale Data, Big Data, Optimization, Data Transfers, Parallelism, Distributed Computing

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