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Use of Cloud Computing Technologies for Geographic Information Systems

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Advanced Information Technology, Services and Systems (AIT2S 2017)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 25))

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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References

  1. Murugesan, S., Bojanova, I.: Encyclopedia of Cloud Computing. Wiley, New York (2016)

    Book  Google Scholar 

  2. Pourabbas, E.: Geographical Information Systems: Trends and Technologies. CRC Press, Boca Raton (2014)

    Book  Google Scholar 

  3. Zhu, X.: GIS for Environmental Applications: A Practical Approach. Routledge, London (2016)

    Google Scholar 

  4. Rafaels, R.: Cloud Computing: From Beginning to End. CreateSpace Independent Publishing Platform, Charleston (2015)

    Google Scholar 

  5. Zheng, D.: Future Intelligent Information Systems, vol. 1. Springer, New York (2011)

    Book  Google Scholar 

  6. Furht, B., Escalante, A.: Handbook of Cloud Computing. Springer Science & Business Media, New York (2010)

    Book  MATH  Google Scholar 

  7. Vinodkumar, T.M.: Geographic Information System for Smart Cities. Copal Publishing Group, Ghaziabad (2016)

    Google Scholar 

  8. Mell, P., Grance, T.: The NIST definition of cloud computing. In: Vance, T.C., Merati, N., Yang, C., Yuan, M., (eds.) Cloud Computing in Ocean and Atmospheric Sciences. Elsevier, NIST, USA (2011)

    Google Scholar 

  9. Yang, C., Huang, Q.: Spatial Cloud Computing: A Practical Approach. CRC Press, Boca Raton (2013)

    Book  Google Scholar 

  10. Chappell, D.: Introducing Windows Azure. Microsoft Corporation, Redmond (2009)

    Google Scholar 

  11. Oracle Corporation, Database rolling upgrade using Data Guard SQL Apply, Maximum Availability Architecture White Paper (2008)

    Google Scholar 

  12. Sleit, A., Misk, N., Badwan, F., Khali, T.: Cloud computing challenges with emphasis on Amazon EC2 and windows azure. Int. J. Comput. Netw. Commun. (IJCNC) 5(5), 35–40 (2013)

    Google Scholar 

  13. Ivan, I., Singleton, A., Horák, J., Inspektor, T.: The Rise of Big Spatial Data. Springer, Ostrava (2016)

    Google Scholar 

  14. Bhat, M.A., Shah, R.M., Ahmad, B., Bhat, I.R.: Cloud computing: a solution to information support systems (ISS). Int. J. Comput. Appl. 11(5), 5 (2010). (0975–8887)

    Google Scholar 

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Correspondence to Ahmed Ziani .

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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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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69136-7

  • Online ISBN: 978-3-319-69137-4

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