Visualization in grid computing environments

Autor:	Julian Gallop, Jason Wood, David A. Duce, Musbah Shahop Sagar, Jeremy Walton, Ken Brodlie
Rok vydání:	2005
Předmět:	business.industry Dataflow Computer science Distributed computing computer.software_genre Pipeline (software) Visualization Software Data visualization Grid computing Operating system Software system business computer Computational steering
Zdroj:	IEEE Visualization Scopus-Elsevier
DOI:	10.1109/visual.2004.112
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1cd6f7d94c3222d97834e0d6591170d4 https://doi.org/10.1109/visual.2004.112 Zobrazit plný text záznamu