Inderscience PublishersInderscience PublishersInderscience Publishers About Inderscience Contact Information Current Site Map General Help
  PUBLISHERS OF DISTINGUISHED ACADEMIC, SCIENTIFIC AND PROFESSIONAL JOURNALS

The full text of this article:

Wide area data replication for scientific collaborations
by Ann Chervenak, Robert Schuler, Carl Kesselman, Scott Koranda, Brian Moe
International Journal of High Performance Computing and Networking (IJHPCN), Vol. 5, No. 3, 2008
Abstract: Scientific applications require sophisticated data management capabilities. We present the Data Replication Service (DRS), one of a planned set of higher-level data management services for scientific collaborations in Grid environments. The capabilities of the DRS are based on the publication capability of the Lightweight Data Replicator (LDR) system developed for the LIGO Scientific Collaboration. We describe LIGO publication requirements and LDR functionality. We also describe the design and implementation of the DRS in the Globus Toolkit Version 4.0 environment and present performance results.

is only available to individual subscribers or to users at subscribing institutions.

ATTENTION SUBSCRIBERS:
Please re-direct your browser by clicking on this Inderscience Online Journals link, to access the full-text of this article.

Pay per view: If you are not a Subscriber and you just want to read the full contents of this article, please click here to purchase online access to the full-text of this article. Please allow 3 days + mailing time. Current price for article is Thirty Euros (€30)

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of High Performance Computing and Networking (IJHPCN) journal, that have been redirected here, please check if you have a registered username/password subscription with Inderscience. If that is the case, please Login:

    Username:        Password:         Forgotten your Password?

If you are not yet a Subscriber to International Journal of High Performance Computing and Networking (IJHPCN) journal, you can subscribe by following a few simple and quick steps. A subscription will give you complete access to all articles in the current issue, as well as to all articles in the previous three years, where applicable. Click here to subscribe.

Should you experience further difficulties or have any enquiries, please email subs@inderscience.com