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The earth system grid: supporting the next generation of climate modeling research
Abstract Understanding the Earth's climate system a 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. nd Web-based portals for using the system.
Author David E. Bernholdt +, Shishir Bharathi +, David Brown +, Kasidit Chanchio +, Meili Chen +, Ann L. Chervenak +, Luca Cinquini +, Bob Drach +, Ian T. Foster +, Peter Fox +, Jose M. Garcia +, Carl Kesselman +, Rob S. Markel +, Don Middleton +, Veronika Nefedova +, Line Pouchard +, Arie Shoshani +, Alex Sim +, Gary Strand +, Dean Williams +
Bibtype article  +
Journal Proceedings of the IEEE +
Key 42314329  +
Modification dateThis property is a special property in this wiki. 15 May 2009 03:25:08  +
Number 3  +
Pages 485-495  +
Paper url http://www.globus.org/alliance/publications/papers/esgProcIEEE2005.pdf  +
Tag Computer science +
Title The Earth System Grid: Supporting the Next Generation of Climate Modeling Research  +
Volume 93 +
Year 2005  +
Categories Journal Paper, Publication
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