• [email protected]
  • +971 507 888 742
Submit Manuscript
SciAlert
  • Home
  • Journals
  • Information
    • For Authors
    • For Referees
    • For Librarian
    • For Societies
  • Contact
  1. Information Technology Journal
  2. Vol 6 (7), 2007
  3. 1090-1094
  • Online First
  • Current Issue
  • Previous Issues
  • More Information
    Aims and Scope Editorial Board Guide to Authors Article Processing Charges
    Submit a Manuscript

Information Technology Journal

Year: 2007 | Volume: 6 | Issue: 7 | Page No.: 1090-1094
DOI: 10.3923/itj.2007.1090.1094

Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

Article Trend



Total views 266

Search


Authors


Yulan Yin

Country: China

Huanqing Cui

Country: China

Xin Chen

Country: China

Keywords


  • hierarchical model
  • virtual organization
  • resource organization
  • Resource discovery
Research Article

The Grid Resource Discovery Method Based on Hierarchical Model

Yulan Yin, Huanqing Cui and Xin Chen
Grid is considered as next generation network and resource discovery is a basic component of Grid resource management. This study presents a hierarchical resource discovery method to make use of attractive features of lumped and exhaustive methods. In this study, the resources in Grid are setup in a 3-layer resource organizational model including Physical Network Layer, Resource Information Layer and Index Information Layer. A resource discovery method based on the above hierarchical model is provided. The simulation result proves that the method discussed is of fine extensibility and performance. Furthermore, it can discover a required resource concurrently to improve the efficiency.
PDF Fulltext XML References Citation

How to cite this article

Yulan Yin, Huanqing Cui and Xin Chen, 2007. The Grid Resource Discovery Method Based on Hierarchical Model. Information Technology Journal, 6: 1090-1094.

DOI: 10.3923/itj.2007.1090.1094

URL: https://scialert.net/abstract/?doi=itj.2007.1090.1094

Leave a Comment


Your email address will not be published. Required fields are marked *

Useful Links

  • Journals
  • For Authors
  • For Referees
  • For Librarian
  • For Socities

Contact Us

Office Number 1128,
Tamani Arts Building,
Business Bay,
Deira, Dubai, UAE

Phone: +971 507 888 742
Email: [email protected]

About Science Alert

Science Alert is a technology platform and service provider for scholarly publishers, helping them to publish and distribute their content online. We provide a range of services, including hosting, design, and digital marketing, as well as analytics and other tools to help publishers understand their audience and optimize their content. Science Alert works with a wide variety of publishers, including academic societies, universities, and commercial publishers.

Follow Us
© Copyright Science Alert. All Rights Reserved