PhD Scholarship in Scientific Computing in The Area of Smart Data Stream Management

Scientific equipment such as high-throughput microscopes can generate massive amounts of data. In order to provide a scalable platform for analyzing the available data, distributed computing infrastructures (DCI) in the form of cloud, fog and edge computing are central. Each environment has its own capabilities based on the available resources. Efficient utilization of the available resources requires an intelligent control plane that enhances productivity.

2 – Design and develop smart lightweight filters to gather summary statistics about the incoming data stream. This process will make the datasets self-explanatory. The research focus will be to work with lightweight algorithms that can be used on data streams. This phase also includes the representation of large datasets in an abstract yet meaningful format.