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Free keywords:
Grid-Computing; e-Science
Abstract:
Many production e-Science infrastructures (e.g. DEISA, D-Grid) have
begun to offer a wide variety of services for end-users during the past
several years. Many e-Scientists solve their scienti c problems by using
parallel computing applications on clusters and collaborative online
visualization and steering (COVS) is known as a tool for analyzing
and better understanding of these applications. In absence of a
widely accepted COVS framework within Grids, visualizations are often
created using proprietary technologies assuming a dedicated scenario.
This makes it feasible to analyze the usual requirements to provide a
blueprint for a more general COVS framework that can be integrated
into Grid middleware systems such as UNICORE, gLite, or Globus
Toolkits. These requirements lead to a design that was successfully
implemented as a higher-level service in UNICORE and presented at
numerous places such as the Open Grid Forum 19 and 20, Europar
2006, Supercomputing 2006 and DEISA trainings.