The Community for Technology Leaders
RSS Icon
Issue No.05 - Sept.-Oct. (2012 vol.14)
pp: 21-30
Jun Wang , Indiana University
Marlon Pierce , Indiana University
Yu Ma , Indiana University
Geoffrey Fox , Indiana University
Andrea Donnellan , Jet Propulsion Laboratory, NASA
Jay Parker , Jet Propulsion Laboratory, NASA
Margaret Glasscoe , Jet Propulsion Laboratory, NASA
Service-based geographic information system (GIS) technologies can enable an open-architecture cyberinfrastructure to provide standards-compliant data products and computing services for both earthquake research and disaster planning and response. Here, a service-based GIS framework is evaluated using examples from two earthquake science projects: QuakeSim and E-Decider.
Earthquakes, Cloud computing, Geospatial analysis, Service oriented architecture, Geographic information systems, Computational modeling, Predictive models, geographic information system, GIS, earthquake, service-oriented architecture, cloud computing, scientific computing
Jun Wang, Marlon Pierce, Yu Ma, Geoffrey Fox, Andrea Donnellan, Jay Parker, Margaret Glasscoe, "Using Service-Based GIS to Support Earthquake Research and Disaster Response", Computing in Science & Engineering, vol.14, no. 5, pp. 21-30, Sept.-Oct. 2012, doi:10.1109/MCSE.2012.61
1. G. Fox, “Grids of Grids of Simple Services,” Computing in Science & Eng., vol. 6, no. 4, 2004, pp. 84–87.
2. R. Granat et al., “Analysis of Streaming GPS Measurements of Surface Displacement through a Web Services Environment,” Proc. 2007 IEEE Symp. Computational Intelligence and Data Mining, IEEE, 2007, pp. 750–757.
3. G.A. Lyzenga, W.R. Panero, and A. Donnellan, “Influence of Anelastic Surface Layers on Postseismic Thrust Fault Deformation,” J. Geophysical Research, vol. 105, no. 2, 2000, pp. 3151–3157.
4. A. Donnellan et al., “QuakeSim: Enabling Model Interactions in Solid Earth Science Sensor Webs,” Proc. 2007 IEEE Aerospace Conf., IEEE, 2007; doi:10.1109/AERO.2007.353087.
5. M.E. Pierce et al., “QuakeSim: Web Services, Portals, and Infrastructure for Geophysics,” Proc. 2008 IEEE Aerospace Conf., IEEE, 2008; doi:10.1109/AERO.2008.4526277.
6. M.T. Glasscoe et al., “Analysis of Emergent Fault Element Behavior in Virtual California,” Concurrency and Computation: Practice and Experience, vol. 22, no. 12, 2009, pp. 1665–1683.
7. R.T. Fielding and R.N. Taylor, “Principled Design of the Modern Web Architecture,” ACM Trans. Internet Technology, vol. 2, no. 2, 2002, pp. 115–150.
8. E.H. Field, T.H. Jordan, and C.A. Cornell, “OpenSHA: A Developing Community-Modeling Environment for Seismic Hazard Analysis,” Seismological Research Letters, vol. 74, no. 4, 2003, pp. 406–419.
9. F. Sullivan, “Cloud Computing for the Sciences,” Computing in Science & Eng., vol. 11, no. 4, 2009, pp. 10–11.
10. G. Fox and D. Gannon, “Cloud Programming Paradigms for Technical Computing Applications,” Proc. Cloud Futures Workshop, 2012; publicationsCloud%20Programming%20Paradigms.pdf .
11. M.E. Pierce et al., “Open Community Development for Science Gateways with Apache Rave,” Proc. 2011 ACM Workshop on Gateway Computing Environments, ACM, 2011, pp. 29–36.
12. A. Donnellan et al., “OpenQuake Social Networking for EarthCube,” Letter of intent for NSF EarthCube activity, Indiana Univ. Pervasive Technology Inst., 18 Jan. 2012; publicationsOpenQuake.pdf.
616 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool