The aim of this study is data discovery in data grid
using content based search technique. This study models scientific data
grid as a large peer to peer based distributed system model. Content based
discovery mechanisms are applied for data discovery using this model.
Grids tie together distributed storage systems and execution platforms
into globally accessible resources. Data grid deals with large computational
problems by providing geographically distributed resources for large-scale
data-intensive applications that generate large data sets. Data grids
provide collection management and global namespaces for organizing data
objects that reside within a grid. This proposed mechanism has been investigated
using the grid simulator gridsim.