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Session: |
Showcase II |
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Title: |
Grid and Web services for problem solving environments - Towards collaborative visualisation |
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Chair: |
Kaukab Jaffri (University of Manchester) |
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Time: |
Wednesday, November 19, 11:15AM - 12:00PM |
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Rm #: |
6-10 |
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Speaker(s)/Author(s): |
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Lakshmi Sastry (CCLRC Rutherford Appleton Laboratory, UK), Martin Keegan (Cambridge University), Jason
Wood (Leeds University) |
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Description: |
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Much research and development expertise had gone into developing generic as well as domain specific data analysis, computational steering and visualisation software tools. The use of such tools has become an integral part of modern scientific research. Consequently much resources have been invested in the training, and learning of such tools by individual and teams of scientists who have also developed highly customised, robust data analysis applications using these tools that form the core of their daily scientific activity. At the same time, advances in experimental techniques, instrumentation and high performance computing produce massive datasets from the simulation of physical processes. The scalability requirements to handle such massive datasets for data analysis tasks are beyond the capabilities of their existing data analysis and visualisation systems and algorithms. This is especially true of a large multidisciplinary research support organisations such as the Central Laboratory of the Research Councils (CCLRC) which operates several large scale scientific facilities for the UK research and industrial communities including accelerators, lasers, telescopes, satellites and supercomputers alongside its active participation in scientific research in astronomy, biology, chemistry, environmental science and physics. The users and scientific partners of these large scale facilities are situated across the world.
The data analysis challenge is to cater to such a wide range of complex multidisciplinary high performance applications that use myriad methodologies and software packages that ambitiously aim to process, visualise and produce gigabytes of data at every finely discretised spatio-temporal and other parametric space of the problem domain. The motivation behind our Web and Grid services based applications and visualisation services is to provide a generic toolkit that can be used to harness the power of the Grid computing and the dynamic flexibility of the Web/Grid services based architecture and make it available to familiar data analysis and problem solving environments. This Grid Applications Portals Toolkit (GAPtk - http://ws1.esc.rl.ac.uk/web/projects/gaptk ) toolkit will provide utilities, services, protocols and configurable high-level application programming interfaces. These can be accessed via customised self-contained application portals built using domain specific tools such as MATLAB, CDAT and Live Access Server. There is also the increasing requirement to explore the ways to exploit emerging technologies such as Access Grid (http://www.accessgrid.org) for collaborative working for increasing productivity of geographically distributed project partnerships.
A Windows Media Stream archive of this session is available at mms://winmedia.internet2.edu/VB-on-Demand/GridWebCollabVis.asf. It is recommended that this file be viewed using Windows Media Player version 9. |
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Link: |
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