Abstract
Geographic Information Systems (GIS) plays an essential role in wide range of areas and is extensively adopted nowadays. They combine social, economic and topographical data that is used for a variety of purposes including flood defense planning, healthcare and road traffic management. GIS is a collection of tools that captures, stores, analyzes, manages, and presents data that are linked to geographical locations. This technology continues to change the way to manage infrastructure, emergency response, and planning [1, 2]. Several efforts are being made to upgrade the conventional GIS applications in order to improve decision making, deliver better service, and reduce operating costs. “Cloud computing” a term which has become popular in recent years, has appeared as technologies by its focus on large-scale asset sharing and reduced cost for large-scale data storage technology to be applied to solve and overcome the challenges in GIS applications [3]. Many efforts are being made to upgrade the GIS applications in order to improve decision making, deliver better service, and reduce operating costs. “Cloud computing” a term which has become popular in recent years, has appeared as technology able to solve and overcome the challenges in GIS applications, by its focus on large-scale asset sharing and reduced cost for large-scale data storage. In this paper, a brief evaluation of Cloud Computing approach to GIS is presented and architecture for GIS Cloud System is proposed.
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Ziani, A., Medouri, A. (2018). Use of Cloud Computing Technologies for Geographic Information Systems. In: Ezziyyani, M., Bahaj, M., Khoukhi, F. (eds) Advanced Information Technology, Services and Systems. AIT2S 2017. Lecture Notes in Networks and Systems, vol 25. Springer, Cham. https://doi.org/10.1007/978-3-319-69137-4_28
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DOI: https://doi.org/10.1007/978-3-319-69137-4_28
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