Bucharest Academy of Economic Studies Publishing House
Abstract
The problem description of data models and types of databases has generated and gives rise to extensive controversy generated by their complexity, the many factors involved in the actual process of implementation. Grids encourage and promote the publication, sharing and integration of scientific data, distributed across Virtual Organizations. Scientists and researchers work on huge, complex and growing datasets. The complexity of data management within a grid environment comes from the distribution, heterogeneity and number of data sources.Early Grid applications focused principally on the storage, replication and movement of file-based data.. Many Grid applications already use databases for managing metadata, but increasingly many are associated with large databases of domain-specific information. In this paper we will talk about the fundamental concepts related to grid-database access, management, OGSA and integration
