Learn More
This paper presents a distributed, collaborative grid enabled visualization environment that supports automated resource discovery across heterogeneous machines. OurResource-Aware Visualization Environment (RAVE) runs as a background process using Grid/Web services, enabling us to share resources with other users rather than commandeering an entire machine.(More)
We present a brief review of 42 collaborative visualization systems, grouped into four application areas: collaborative problem-solving environments, virtual reality environments, multi-player online games and multi-user enabling of single user applications. The systems are then compared by five attributes: number of simultaneous users, user access control,(More)
The medical domain provides excellent opportunities for the application of computer graphics, visualization and virtual environments, with the potential to help improve healthcare and bring benefits to patients. This survey paper provides a comprehensive overview of the state-of-the-art in this exciting field. It has been written from the perspective of(More)
SUMMARY We present a report on the Resource-Aware Visualization Environment (RAVE) project, from its inception and design phases, through implementation choices and final actual use cases. The RAVE (Resource-Aware Visualization Environment) is a distributed, collaborative Grid enabled visualization environment that supports automated resource discovery(More)
We present an initial report on using our distributed, collaborative grid enabled visualization environment to link SuperComputing 2004 (Pittsburgh, PA, USA) with the Cardiff School of Computer Science (Cardiff, Wales, UK). A PDA was used to visualize large, shared datasets (in the range of 0.5--4.5 million polygons) stored in Cardiff, interacting with a(More)
— We present a status report on RAVE, our distributed, collaborative grid enabled visualiza-tion environment. We briefly review our architecture and related work, examine our collaborative support and relate this to an experiment carried out between SuperComputing 2004 (Pittsburgh, PA, USA) and the Cardiff School of Computer Science. Load distribution in(More)