research-article

Integrating CyberGIS gateway with Windows Azure: a case study on MODFLOW groundwater simulation

Authors:

Babak Behzad,

Anand Padmanabhan,

Yong Liu,

Yan Liu,

Shaowen WangAuthors Info & Claims

HPDGIS '11: Proceedings of the ACM SIGSPATIAL Second International Workshop on High Performance and Distributed Geographic Information Systems

Pages 26 - 29

https://doi.org/10.1145/2070770.2070774

Published: 01 November 2011 Publication History

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Abstract

The CyberGIS Gateway represents a cutting-edge cyberin-frastructure-based geographic information system that facilitates computationally intensive and collaborative spatial analysis and modeling. As more and more geospatial problems are becoming increasingly computationally intensive and complex to solve, Cloud computing, often characterized as on-demand and elastic, provides promising approaches to these problems. This research has developed an integration framework for CyberGIS Gateway to leverage the Microsoft Windows Azure Cloud platform. The framework is based on a generic architectural design for the CyberGIS Gateway to integrate with Cloud computing environments. This paper describes our initial implementation of the integration framework based on a case study of groundwater ensemble run, and discusses major challenges and future direction for establishing hybrid cyberinfrastructure encompassing both high-end and Cloud computing environments.

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Cited By

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Tripathi AAgrawal SGupta R(2020)Cloud enabled SDI architecture: a reviewEarth Science Informatics10.1007/s12145-020-00446-913:2(211-231)Online publication date: 11-Feb-2020
https://doi.org/10.1007/s12145-020-00446-9
Agrawal SGupta R(2017)Web GIS and its architecture: a reviewArabian Journal of Geosciences10.1007/s12517-017-3296-210:23Online publication date: 29-Nov-2017
https://doi.org/10.1007/s12517-017-3296-2
Zhou LChen NChen Z(2016)A Cloud Computing-Enabled Spatio-Temporal Cyber-Physical Information Infrastructure for Efficient Soil Moisture MonitoringISPRS International Journal of Geo-Information10.3390/ijgi50600815:6(81)Online publication date: 2-Jun-2016
https://doi.org/10.3390/ijgi5060081
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Integrating CyberGIS gateway with Windows Azure: a case study on MODFLOW groundwater simulation

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Published In

HPDGIS '11: Proceedings of the ACM SIGSPATIAL Second International Workshop on High Performance and Distributed Geographic Information Systems

November 2011

53 pages

ISBN:9781450310406

DOI:10.1145/2070770

General Chairs:
Shaowen Wang
University of Illinois at Urbana-Champaign
,
Nancy Wilkins-Diehr
University of California at San Diego

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 November 2011

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Office of Cyberinfrastructure

Conference

GIS '11

Sponsor:

SIGSPATIAL

GIS '11: 19th SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 1, 2011

Illinois, Chicago

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Cited By

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Tripathi AAgrawal SGupta R(2020)Cloud enabled SDI architecture: a reviewEarth Science Informatics10.1007/s12145-020-00446-913:2(211-231)Online publication date: 11-Feb-2020
https://doi.org/10.1007/s12145-020-00446-9
Agrawal SGupta R(2017)Web GIS and its architecture: a reviewArabian Journal of Geosciences10.1007/s12517-017-3296-210:23Online publication date: 29-Nov-2017
https://doi.org/10.1007/s12517-017-3296-2
Zhou LChen NChen Z(2016)A Cloud Computing-Enabled Spatio-Temporal Cyber-Physical Information Infrastructure for Efficient Soil Moisture MonitoringISPRS International Journal of Geo-Information10.3390/ijgi50600815:6(81)Online publication date: 2-Jun-2016
https://doi.org/10.3390/ijgi5060081
Christensen SSwain NJones NNelson ESnow ADolder H(2016)A Comprehensive Python Toolkit for Accessing High‐Throughput Computing to Support Large Hydrologic Modeling TasksJAWRA Journal of the American Water Resources Association10.1111/1752-1688.1245553:2(333-343)Online publication date: 13-Sep-2016
https://doi.org/10.1111/1752-1688.12455
Zhou LChen NChen Z(2016)Cloud computing driven efficient mapping on soil moisture under sensor web environment2016 Fifth International Conference on Agro-Geoinformatics (Agro-Geoinformatics)10.1109/Agro-Geoinformatics.2016.7577666(1-5)Online publication date: Jul-2016
https://doi.org/10.1109/Agro-Geoinformatics.2016.7577666
Riteau PHwang MPadmanabhan AGao YLiu YKeahey KWang SRaicu IKeahey KChard KNicolae B(2014)A cloud computing approach to on-demand and scalable cybergis analyticsProceedings of the 5th ACM workshop on Scientific cloud computing10.1145/2608029.2608032(17-24)Online publication date: 23-Jun-2014
https://dl.acm.org/doi/10.1145/2608029.2608032
Kim ITsou M(2013)Enabling Digital Earth simulation models using cloud computing or grid computing – two approaches supporting high-performance GIS simulation frameworksInternational Journal of Digital Earth10.1080/17538947.2013.7831256:4(383-403)Online publication date: 17-Apr-2013
https://doi.org/10.1080/17538947.2013.783125

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