System architecture of cloud-based web GIS for real-time macroeconomic loss estimation

Abstract

This paper presents a system architecture of a web GIS that is used to develop a web mapping app for real-time macroeconomic impact decision support tool. It incorporates web GIS on the cloud with an autonomous software system for real-time situational awareness (outage statue and economic loss) from power & electric utilities. Our web GIS is a system of systems, and we deployed ESRI's ArcGIS platform, Amazon Web Services (AWS), enterprise spatial database, C#, RESTful API, and JSON format. The system implementation results in a web GIS that contains a GIS server with a set of REST APIs of GIS web services (map service, geodata service, etc) on the cloud that can be used by web mapping apps, mobile GIS apps, or desktop programs to share, display, analyze, and update a geodatabase, which is embedded in cloud. To evaluate our approach, we developed a web map application and an operations dashboard that used the created GIS web services and APIs. Our web GIS is applicable for the "Internet of Things" domain, public safety, cloud communication, crisis response, web map application, location-based services, and real-time GIS.

DOI: 10.1145/3004725.3004731

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Cite this paper

@inproceedings{Nourjou2016SystemAO, title={System architecture of cloud-based web GIS for real-time macroeconomic loss estimation}, author={Reza Nourjou and Joel Thomas}, booktitle={MobiGIS}, year={2016} }