GADA'04

The great challenge of grid computing is the complete integration of heterogeneous computing systems and data resources with the aim of providing a global computing space. The achievement of this goal will involve revolutionary changes in the field of computation, because it will enable resource-sharing across networks, data being one of the most important resources. This workshop is intended for researchers in grid computing who want to extend their background in the area, and more specifically for those who use grid environments for managing and analysing data.

• Computational grids
• Grid solutions for data-intensive applications
• Grid infrastructures for data analysis
• High-performance computing for data-intensive applications
• Grid computing infrastructures, middleware and tools
• Grid computing services
• Grid and cluster computing
• Collaboration technologies
• Data analysis and management
• Databases and the grid
• Extracting knowledge from data grids
• Agent-based management of data in distributed systems
• Agent architectures for grid environments
• Semantic Grid
• Data grids for bioinformatics
• Security in data grids