Call for Papers

Grids encourage and promote the publication, analysis, processing, sharing, integration of scientific data, distributed across Virtual Organizations. Scientists and researchers (climatologists, bioinformatics, astrophysics, financial experts, etc.) work on huge, complex, heterogeneous and continuosly growing datasets. The complexity of data management within a grid environment comes from the distribution, heterogeneity and number of data sources. Grids are characterized with high heterogeneity, high autonomy and large-scale distribution of computing and data resources. Accessing and managing efficiently a large number of heterogeneous and widespread data resources (concerning both files and databases) in a grid environment is an open problem. Grids may have different requirements with respect to autonomy, query management, efficient delivery mechanisms, quality of service, scalability, flexibility, security, etc. Important issues must be faced, ranging from distributed grid database management, extensions of distributed and parallel computing techniques to more decentralized, self-adaptive techniques such as Peer-to-peer (P2P), data grid for e-Science applications, high performance data delivery/replication/access, etc. The main goal of this workshop is to bring together researchers and scientists from the high-performance data management, scientific computing, storage systems, distributed systems, database communities, e-Science domains (data-oriented), etc. to discuss and share the challenges concerning the high-performance data management in a Grid environments. In particular, this workshop aims at offering a high level forum for exchanging information, ideas, techniques and software on how to progress in this rapidly evolving field, in order to support the advance in scientific research education as well as industrial applications.

Topics of Interest

They include, but are not limited to:

Data Grid Architectures / Infrastructures
Data Grids for e-Science
Data-intensive Grid Applications
Data Grid, Web Services and P2P
WSRF-based Data Grid Services
Grid Database Access, Management and Integration Services
Parallel Database Management in Grid
Data Security and Privacy
Data Grid Portals
Data Grids and Metadata Management
Grid Data Warehousing and Data Mining
Grid Data Streaming
Grid Storage & High Performance Data Transfer Protocols
Query Processing and Information Retrieval in Grids
Workflow/Dataflow Management in Grids
High Performance Data Movement, Replication and Fault-Tolerance in Grids
Indexing, caching and load balancing in Grids
Grid multimedia data management