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Are Clouds Ready for Geoprocessing?

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Cloud Computing and Services Science (CLOSER 2011)

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Abstract

Cloud computing has gained popularity in recent years as a new means to quickly process and share information by using a pool of computing resources. Of existing and new applications that could benefit from cloud computing, geospatial applications, whose operations are based on geospatial data and computation, are of particular interest due to prevalence of large geospatial data layers and to complex geospatial computations. Problems in many compute- and/or data-intensive geospatial applications are even more pronounced when real-time response is needed. While researchers have been resorting to high-performance computing (HPC) platforms for efficient processing such as grids and supercomputers, cloud computing with new and advanced features is potential for geospatial problem solving and application implementation and deployment. In this chapter, we discuss the result of our experiments using Google App Engine (GAE), as a representative of existing cloud computing platforms, for real-time geospatial applications.

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Author information

Authors and Affiliations

  1. Geoinformatics Laboratory, School of Information Sciences, University of Pittsburgh, 135 North Bellefield Avenue, Pittsburgh, PA, 15260, USA

    Hassan A. Karimi

  2. Department of Computer Science and Information Technology, Naresuan University, Bangkok, Thailand

    Duangduen Roongpiboonsopit

Authors
  1. Hassan A. Karimi
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  2. Duangduen Roongpiboonsopit
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Corresponding author

Correspondence to Hassan A. Karimi .

Editor information

Editors and Affiliations

  1. SUNY Empire State College, Hauppauge, 11788, New York, USA

    Ivan Ivanov

  2. , Centre for Telematics and Information Te, University of Twente, Enschede, 7500 AE, The Netherlands

    Marten van Sinderen

  3. Collaboration & Research on, Enterprise Systems &, Interdisciplinary Institute for, Sofia, Bulgaria

    Boris Shishkov

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Karimi, H.A., Roongpiboonsopit, D. (2012). Are Clouds Ready for Geoprocessing?. In: Ivanov, I., van Sinderen, M., Shishkov, B. (eds) Cloud Computing and Services Science. CLOSER 2011. Service Science: Research and Innovations in the Service Economy. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-2326-3_16

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  • DOI: https://doi.org/10.1007/978-1-4614-2326-3_16

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-2325-6

  • Online ISBN: 978-1-4614-2326-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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