The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Simulation of Dynamic Grid Replication Strategies in OptorSim
GRID '02 Proceedings of the Third International Workshop on Grid Computing
Early experiences with the GridFTP protocol using the GRB-GSIFTP library
Future Generation Computer Systems - Grid computing: Towards a new computing infrastructure
Chameleon: A Resource Scheduler in A Data Grid Environment
CCGRID '03 Proceedings of the 3st International Symposium on Cluster Computing and the Grid
GriPhyN and LIGO, Building a Virtual Data Grid for Gravitational Wave Scientists
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
A Data Grid System Oriented Biologic Data
WI-IATW '07 Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
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Today, data grids have become an important emerging platform for managing and processing a very large amount of data distributed across multiple grid nodes and stored in relational databases. However, there are still obstacles for potential grid users to be involved into the trend and the data grid application development is far from the data grids. While the traditional established data grid architectures are not particularly suitable for the some grid service, such as data replica services, user authentication services, and the Optimal Path selection services. Our project aims to exploit a novel architecture named General Data Grid, which integrates the metadata services, data replica services, java message services, and the Optimal Path selection on Data Grid environment. At the end of this paper, we describe the key implement on the GDGrid and present a simple example application concerning finding the optimal route. Our experiment of GDGrid shows the algorithm of the route selection (Heart-Beat algorithm) is effectively, improve the performance greatly, and afford fault-tolerance management to the great extent.