ADSM 2005

Applications such as eScience and eBusiness involve geographically distributed and heterogeneous resources such as computational resources, scientific instruments, and databases. The data in these applications is usually massive and distributed across numerous institutions. Building, managing, and operating such distributed data and storage systems in autonomic manner are not only challenging, but also presents a large business opportunity for industries.

This workshop will bring together leaders from academia, research, and industry who are building autonomic management of distributed data and storage systems.

• Reliable data transfer services
• Data access and filtering services
• Replica management in grid environments
• Data consistency management in grids
• Databases and the grid
• Virtual data
• Caching to provide faster access
• High data availability
• Fault-tolerance of data
• Planning and execution of data-intensive applications on the grid
• Metadata management
• Extracting knowledge from data grids
• Grid infrastructures for data analysis
• High-performance computing for data-intensive applications
• Data analysis and management
• Agent-based management of data in distributed systems
• Agent architectures for grid environments
• Semantic grid
• Data grids for bioinformatics
• Privacy and security in data grids
• Reliable data and service discovery mechanisms
• File systems and parallel I/O for clusters
• Data distribution and load balancing
• Advances in storage technology
• Language and runtime libraries
• Parallel I/O support for databases