CoG kits: a bridge between commodity distributed computing and high-performance grids
Proceedings of the ACM 2000 conference on Java Grande
Grids as Production Computing Environments: The Engineering Aspects of NASA's Information Power Grid
HPDC '99 Proceedings of the 8th IEEE International Symposium on High Performance Distributed Computing
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
ChinaGrid: making grid computing a reality
ICADL'04 Proceedings of the 7th international Conference on Digital Libraries: international collaboration and cross-fertilization
An adaptive and safe ubicomp for HPC applications
International Journal of Ad Hoc and Ubiquitous Computing
A novel adaptive and safe framework for ubicomp
PAKDD'07 Proceedings of the 2007 international conference on Emerging technologies in knowledge discovery and data mining
Satellite image processing on computational grids
ACMOS'07 Proceedings of the 9th WSEAS international conference on Automatic control, modelling and simulation
A solution for satellite image processing on grids
DNCOCO'06 Proceedings of the 5th WSEAS international conference on Data networks, communications and computers
The Journal of Supercomputing
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ChinaGrid Support Platform (CGSP) is a grid middleware developed for the deployment of ChinaGrid. CGSP aims to integrate all sorts of heterogeneous resources distributed over CERNET, and provide transparent, high performance, reliable, secure and convenient grid services for scientific researchers and engineers. In addition to supply the portal to ChinaGrid, CGSP offers a whole set of tools for developing and deploying various grid applications. Analyzing large and distributed image dataset is a crucial step in understanding and constructing bioinformatics, military and medical systems. Due to the large scale dataset, such analyzing work is challenging. In this paper, a use case scenario of image processing with CGSP is presented. Such use cases illustrate how to migrate the traditional image process applications to grid systems for different roles of image processing. The purpose of this paper is to introduce the CGSP and let the engineers and scientists from different research areas know how to build a grid testbed with CGSP and how to deploy applications on it smoothly.