Bibliographic Details
| Title: |
The Earth System Grid: Supporting the Next Generation of Climate Modeling Research. |
| Authors: |
Bernholdt, David1 bernholdtde@ornl.gov, Bharathi, Shishir2 shishir@isi.edu, Brown, David3 dbrown@ucar.edu, Chanchio, Kasidit1 chanchiok@ornl.gov, Chen, Meili1 chenml@ornl.gov, Chervenak, Ann2 annc@isi.edu, Cinquini, Luca3 luca@ucar.edu, Drach, Bob4 drach@llnt.gov, Foster, Ian5 foster@mcs.anl.gov, Fox, Peter3 pfox@ucar.edu, Garcia, Jose3 jgarcia@ucar.edu, Kesselman, Carl2 carl@isi.edu, Markel, Rob3, Middleton, Don3 don@ucar.edu, Nefedova, Veronika5 nefedova@mcs.anl.gov, Pouchard, Line1 pouchardlc@ornl.gov, Shoshani, Arie6 shoshani@lbl.gov, Sim, Alex6 asim@lbl.gov, Strand, Gary3 strandwg@ucar.edu, Williams, Dean4 williams13@llnl.gov |
| Source: |
Proceedings of the IEEE. Mar2005, Vol. 93 Issue 3, p485-495. 11p. 4 Diagrams. |
| Subjects: |
Climatology, Grid computing, Computer systems, High performance computing, Distributed computing |
| Abstract: |
Understanding the earth's climate system and how it might be changing is a preeminent scientific challenge. Global climate models are used to simulate past, present, and future climates, and experiments are executed continuously on an array of distributed supercomputers. The resulting data archive, spread over several sites, currently contains upwards of 100 TB of simulation data and is growing rapidly. Looking toward mid-decade and beyond, we must anticipate and prepare for distributed climate research data holdings of many petabytes. The Earth System Grid (ESG) is a collaborative interdisciplinary project aimed at addressing the challenge of enabling management, discovery, access, and analysis of these critically important datasets in a distributed and heterogeneous computational environment. The problem is fundamentally a Grid problem. Building upon the Globus toolkit and a variety of other technologies, ESG is developing an environment that addresses authentication, authorization for data access, large-scale data transport and management, services and abstractions for high-performance remote data access, mechanisms for scalable data replication, cataloging with rich semantic and syntactic information, data discovery, distributed monitoring, and Web-based portals for using the system. [ABSTRACT FROM AUTHOR] |
|
Copyright of Proceedings of the IEEE is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Engineering Source |
