In this paper, we present a Grid computing platform that provides experimental scientists and analysts with access to computational simulations and knowledge databases hosted in separate laboratories around the world involved with human and animal kidney research. No single laboratory can develop these resources in isolation, and the community of users should no longer need to be dependent upon the specific programming environment in which applications have been developed. This work aims to exploit the power of highbandwidth communications networks for collaborative research and for shared access to knowledge resources. This platform is developed within a specialist community of renal scientists but will be transferable to any other field of research requiring interaction between published literature and databases, theoretical models and simulations and the formulation of effective experimental design. Keywords Kidney Modeling, Grid Computing, Grid Portal, Gridbus Resource Broker, Web...
Xingchen Chu, Andrew Lonie, Peter Harris, S. Randa