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ADMIRE
Advanced Data Mining and Integration Research for Europe
The Data-Intensive Process Engineering Language (DISPEL) has been developed in the ADMIRE project to encourage partitioning of data-intensive process design and development. It manipulates processing elements and data streams to generate graphs that represent the requested processes. Some of the features of the language designed to make this possible will be introduced
We welcome Alessandro Spinuso and Luca Trani who have joined us on the ADMIRE project. They previously worked for the Royal Netherlands Institute for Meteorology (KNMI) on ORFEUS, the centre for seismology research for Europe.
Peter will be working on the Advanced Data Mining and Integration Research for Europe project. He will mostly be working in conjunction with Malcolm Atkinson and Gagarine Yaikhom on the ADMIRE book.
He is in Room 3.23 and his phone number is 515625.
Modern scientific collaborations have opened up the opportunity of solving complex problems that involve multi- disciplinary expertise and large-scale computational experiments. These experiments usually involve large amounts of data that are located in distributed data repositories running various software systems, and managed by different organisations. A common strategy to make the experiments more manageable is executing the processing steps as a workflow.
Date and time:
Tuesday, 22 June, 2010 - 11:30
Location:
The Third International Workshop on Data Intensive Distributed Computing, Chicago, Illinois, US
It is evident that data-intensive research is transforming computing landscape. We are facing the challenge of handling the deluge of data generated by sensors and modern instruments that are widely used in all domains. The number of sources of data is increasing, while, at the same time, the diversity, complexity and scale of these data resources are also growing dramatically. To survive the data tsunami, we need to improve our apparatus for the exploration and exploitation of the growing wealth of data.
Date and time:
Wednesday, 7 July, 2010 - 14:00
Location:
Information Sciences Institute, University of Southern California, Los Angeles, California, US.
It is evident that data-intensive research is transforming computing landscape. We are facing the challenge of handling the deluge of data generated by sensors and modern instruments that are widely used in all domains. The number of sources of data is increasing, while, at the same time, the diversity, complexity and scale of these data resources are also growing dramatically. To survive the data tsunami, we need to improve our apparatus for the exploration and exploitation of the growing wealth of data.
Date and time:
Tuesday, 29 June, 2010 - 11:00
Location:
National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, Illinois, US.
The UK National e-Science Centre at the University of Edinburgh is recruiting a Research Associate to join the Edinburgh Data-Intensive Research (http://research.nesc.ac.uk/) group. You will work on an EU-funded project (http://www.admire-project.eu/) to develop a European infrastructure to enable advanced data integration and data mining for research.
It is evident that data-intensive research is transforming computing landscape. We are facing the challenge of handling the deluge of data generated by sensors and modern instruments that are widely used in all domains. The number of sources of data is increasing, while, at the same time, the diversity, complexity and scale of these data resources are also growing dramatically. To survive the data tsunami, we need to improve our apparatus for the exploration and exploitation of the growing wealth of data.
Date and time:
Thursday, 1 July, 2010 - 13:00
Location:
Computation Institute, University of Chicago, Chicago, Illinois, US.
