An Approach of Heterogeneous Data Access and Integration in Grid

Grid computing technologies have played an important role in both scientific and commercial communities in recent years. Initially, grid applications were concerned principally on the storage, replication and movement of file-based data, but now they are increasingly being used in many relative areas of e-Science and e-Business. The need for data access and integration becomes widely aware. In this paper, the Muse project presents a feasible approach, which is based on the design and implementation of OGSA-DAI architecture, to facilitate scientific researchers using grid services in their collaborative work. The Muse, with an aim of providing integrated access to complex, heterogeneous and distributed data resources, mainly intends to build a high-level middleware to extend the functionalities of OGSA-DAI framework. This paper focuses primarily on access and integration of relational databases, and shows how Muse supports a demonstrated application scenario in detail.