dc.contributor.author | Blanton, Brian O. | |
dc.contributor.author | Lander, Howard M. | |
dc.contributor.author | Luettich, Richard A. | |
dc.contributor.author | Ramakrishnan, Lavanya | |
dc.contributor.author | Reed, Daniel A. | |
dc.contributor.author | Thorpe, Steven R. | |
dc.date.accessioned | 2008-11-05T17:12:35Z | |
dc.date.available | 2008-11-05T17:12:35Z | |
dc.date.issued | 2006 | |
dc.identifier.uri | http://hdl.handle.net/1850/7352 | |
dc.description.abstract | Natural disasters such as hurricanes heavily
impact the US East and Gulf coasts. This creates
the need for large scale modeling in the areas of
meteorology and ocean sciences, coupled with an
integrated environment for analysis and
information dissemination. In turn, this means there
is an increased need for large-scale distributed
high performance resources and data environments.
In this paper, we describe a framework that allows
a storm surge model-ADCIRC to be run in a
distributed Grid environment. This framework was
developed as a component of the Southeastern
Universities Research Association’s (SURA)
Southeastern Coastal Ocean Observing and
Prediction (SCOOP) program. SCOOP is creating
an open-access grid environment for the
southeastern coastal zone to help integrate regional
coastal observing and modeling systems.
Specifically this paper describes a set of techniques
used for resource selection and fault tolerance in a
highly variable ad-hoc Grid environment. The
framework integrates domain-specific tools and
standard Grid and portal tools to provide an
integrated environment for forecasting and
information dissemination. | |
dc.description.sponsorship | ACM, IEEE | en_US |
dc.language.iso | en | |
dc.relation | RIT Scholars content from RIT Digital Media Library has moved from http://ritdml.rit.edu/handle/1850/7352 to RIT Scholar Works http://scholarworks.rit.edu/article/971, please update your feeds & links! | |
dc.subject | Ad-hoc grid | en_US |
dc.subject | Hurricane | en_US |
dc.subject | Southeastern coastal ocean observing and prediction | en_US |
dc.subject | Southeastern University research association | en_US |
dc.title | Real-time storm surge ensemble modeling in a grid environment | |
dc.type | Preprint | |