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A Grid Service Module for Natural-Resource Managers
Dali Wang, Eric A. Carr,
Mark R. Palmer,
Michael W. Berry,
and Louis J. Gross
University of Tennessee, Knoxville
A Grid Service Module for
Natural-Resource Managers
To facilitate transparent use of the high-performance Across Trophic-Level System
Simulation (ATLSS) ecosystem-modeling package for natural-resource
management, the authors developed a grid service module. The module exploits
grid middleware functionality to process complex computation without requiring
users to handle underlying issues. It represents the first application of grid
computing to this discipline and provides a potential template for researchers in
other disciplines to exploit scientific computation without extensive training in
high-performance computing.
During the past two decades,researchers have developed a vari-ety of ecological models that serve
as useful tools for natural-resource man-
agement. Those models can summarize
information on a resource, determine
where gaps exist, extrapolate across them,
and simulate scenarios to evaluate the
outcomes of various management deci-
sions.1 However, poor integration with
existing models and the lack of new ones
keep ecological models from being used
effectively in natural-resource manage-
ment.2 Moreover, natural-resource man-
agers typically have little experience or
training in scientific computing. For new
modeling applications to be effective,
developers must therefore create new
computational methodologies to let users
perform complex simulations without
extensive additional training.
As ecological models become more
complex, their computational demands
make it prudent to have tools that can
carry out the simulations and associated
visualizations. Fortunately, developments
in high-performance networks, computers,
and information services now make it fea-
sible to incorporate remote computing and
information resources into local computa-
tional environments. Specifically, grid
computing has emerged as one of the most
important new devel
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