Subscribe Now Subscribe Today
Science Alert
Curve Top
Information Technology Journal
  Year: 2009 | Volume: 8 | Issue: 1 | Page No.: 71-76
DOI: 10.3923/itj.2009.71.76
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

Data Discovery in Grid Using Content Based Searching Technique

R. Renuga and Sudha Sadasivam

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.
PDF Fulltext XML References Citation Report Citation
  •    Video Forgery Detection Based on Non-Subsampled Contourlet Transform and Gradient Information
  •    Research and Improvement of Unstructured P2P Super-Peer Topology and Search Technique
  •    A Framework Based on Multi-models and Multi-features for Sports Video Semantic Analysis
  •    CFD-Mine: An Efficient Algorithm For Discovering Functional and Conditional Functional Dependencies
How to cite this article:

R. Renuga and Sudha Sadasivam, 2009. Data Discovery in Grid Using Content Based Searching Technique. Information Technology Journal, 8: 71-76.

DOI: 10.3923/itj.2009.71.76






Curve Bottom