Abstract: By metadata driven method, the distributed data resource management technology is studied. The data unified organization is implemented. The high effective data sharing services are provided. After analyzing and classifying data, based on metadata definition and management, the data is indexed and cached in distributed data management. The key technologies are studied, including the distributed resource global directory construction for directory service, the high speed transportation in data cache management for reducing delay of dealing, collecting, and dispatching data. The dynamical and adaptive data scheduling way based on multi-backup is provided for resolving the data selection and dynamical refresh in distributed data resource management.

Key words: distributed data resource management, metadata, global directory, data cache, adaptive data scheduling