RAVE: the resource-aware visualization environment

Authors:
I. J. Grimstead;N. J. Avis;D. W. Walker
Affiliations:
Cardiff School of Computer Science, Cardiff University, Queen's Buildings, 5 The Parade, Roath, Cardiff CF24 3AA, U.K.;Cardiff School of Computer Science, Cardiff University, Queen's Buildings, 5 The Parade, Roath, Cardiff CF24 3AA, U.K.;Cardiff School of Computer Science, Cardiff University, Queen's Buildings, 5 The Parade, Roath, Cardiff CF24 3AA, U.K.
Venue:
Concurrency and Computation: Practice & Experience
Year:
2009

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Abstract

We present the resource-aware visualization environment (RAVE) project, from its inception and design phases, through implementation choices and final actual use cases. RAVE is a distributed, collaborative Grid-enabled visualization environment that supports automated resource discovery across heterogeneous machines. RAVE runs as a background process using Web services, enabling us to share resources with other users rather than commandeering an entire machine. RAVE supports a wide range of machines, from hand-held PDAs to high-end servers with large-scale stereoscopic, tracked displays. The local display device may render all, some or none of the data set remotely, depending on its capability and present loading, utilizing remote servers to assist where necessary. This enables scientists and engineers to collaborate from their desks, in the field, or in front of specialized immersive displays. Copyright © 2008 John Wiley & Sons, Ltd.