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C2GEO: Techniques and tools for real-time data-intensive geoprocessing in cloud computing

Karimi, HA and Roongpiboonsopit, D (2011) C2GEO: Techniques and tools for real-time data-intensive geoprocessing in cloud computing. In: UNSPECIFIED.

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Abstract

Interest in implementing and deploying many existing and new applications on cloud platforms is continually growing. Of these, geospatial applications, whose operations are based on geospatial data and computation, are of particular interest because they typically involve very large geospatial data layers and specialized and complex computations. In general, problems in many geospatial applications, especially those with real-time response, are compute- and/or data-intensive, which is the reason why researchers often resort to high-performance computing platforms for efficient processing. However, compared to existing high-performance computing platforms, such as grids and supercomputers, cloud computing offers new and advanced features that can benefit geospatial problem solving and application implementation and deployment. In this paper, we present a distributed algorithm for geospatial data processing on clouds and discuss the results of our experimentation with an existing cloud platform to evaluate its performance for real-time geoprocessing.


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Details

Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Karimi, HAhkarimi@pitt.eduHKARIMI0000-0001-5331-5004
Roongpiboonsopit, D
Date: 14 September 2011
Date Type: Publication
Journal or Publication Title: CLOSER 2011 - Proceedings of the 1st International Conference on Cloud Computing and Services Science
Page Range: 371 - 381
Event Type: Conference
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISBN: 9789898425522
Related URLs:
Date Deposited: 05 Jul 2011 15:38
Last Modified: 31 Jul 2020 14:55
URI: http://d-scholarship.pitt.edu/id/eprint/5949

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