Visualization in Grid Computing Environments

  • Authors:
  • Ken Brodlie;David Duce;Julian Gallop;Musbah Sagar;Jeremy Walton;Jason Wood

  • Affiliations:
  • University of Leeds;Oxford Brookes University;CCLRC Rutherford Appleton Laboratory;Oxford Brookes University;The Numerical Algorithms Group Ltd.;University of Leeds

  • Venue:
  • VIS '04 Proceedings of the conference on Visualization '04
  • Year:
  • 2004

Quantified Score

Hi-index 0.00

Visualization

Abstract

Grid computing provides a challenge for visualization system designers. In this research, we evolve the dataflow concept to allow parts of the visualization process to be executed remotely in a secure and seamless manner. We see dataflow at three levels: an abstract specification of the intent of the visualization; a binding of these abstract modules to a specific software system; and then a binding of software to processing and other resources. We develop an XML application capable of describing visualization at the three levels. To complement this, we have implemented an extension to a popular visualization system, IRIS Explorer, which allows modules in a dataflow pipeline to run on a set of Grid resources. For computational steering applications, we have developed a library that allows a visualization system front-end to connect to a simulation running remotely on a Grid resource. We demonstrate the work in two applications: the dispersion of a pollutant under different wind conditions; and the solution of a challenging numerical problem in elastohydrodynamic lubrication