1st International Workshop on High Performance Data Grid (HPDataGrid'08)

held in conjunction with

9th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT'08)

1-4 December 2008 - Dunedin, New Zealand

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 in 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 issue. 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 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.