[dais-wg] CFP Extended Deadline: DIALOGUE Workshop.

[Mario Antonioletti]

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| First DIALOGUE Workshop: Applications-Driven Issues in Data Grids |
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           Dates    : August 1 & 2, 2005
           Location : The Blackwell,
                      The Ohio State University,
                      Columbus, Ohio, USA.

           More info: http://dialogue.datagrids.org/workshops.cfm

 	  Abstract submission deadline extended to 1st July.

As more and more applications move towards distributed storage and
processing solutions, new and interesting issues arise. Applications
must handle varying, sometimes extremely large data sizes and
increasingly complex data models. These applications also often must
allow fine grained access control. Applications areas from engineering
to basic biomedical research to clinical research share common
challenges and encounter domain specific issues regarding the storage,
management, and processing of requirements in a data grid
environment. Future data grid middleware solutions will need to be
able to deal with these issues in generalizable, globally applicable
ways.

Call For Participation
----------------------

Presentations and discussions at this first DIALOGUE workshop will
cover applications scenarios that reveal issues encountered in the
participants' current data grid solutions. Presentations may discuss
how such issues can be generalized and abstracted so that they can be
addressed by existing grid middleware and/or may propose potential
middleware approaches to address these issues.

Presentation abstracts (<1000 words) should be submitted to
dialogue at datagrids.org by July 1, 2005.

Potential Topics
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Applications:
     o Integrative basic cancer research
     o Clinical data management
     o Large scale image analysis and visualization
     o Assimilation of sensor-gathered datasets
     o Large-scale, simulation-based subsurface characterization and
       optimization

Issues:
     o Storage and management of extremely large volumes of data
     o Data mining and warehousing
     o Complex and varying models of data
     o Querying and subsetting of large datasets
     o Integration of multiple data types
     o Integration across multiple scales of data
     o Fine grain access control
     o Management and execution of data- and compute-intensive workflows

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|Mario Antonioletti:EPCC,JCMB,The King's Buildings,Edinburgh EH9 3JZ.   |
|Tel:0131 650 5141|mario at epcc.ed.ac.uk|http://www.epcc.ed.ac.uk/~mario/ |
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