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DOI: 10.14569/IJACSA.2015.061106
PDF

Enhancing Performance of GIS on Cloud Computing

Author 1: Ahmed Teaima A. T
Author 2: Hesham Ahmed Hefny. H. F. H
Author 3: BahaaShabana B.S

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 6 Issue 11, 2015.

  • Abstract and Keywords
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Abstract: Cloud computing provides a way of determining dynamically scalable and virtualized resources as a service over the Internet. GIS is a technology, which could use Cloud Computing for distributed parallel processing of a large set of data, store and share the results with users around the world. GIS is beneficial and works well when it be available to everyone, everywhere, anytime and with downcast fee of minimal sized in terms of technology and outlay. Cloud Computing used to portray and help users to use GIS applications in an easy way. This paper will study some example of a data structure like a K-d tree and Quad trees of GIS application and compare between them when storing these data structures on Cloud computing, the paper also portrays the results of the study of data structure on cloud computing platforms to retrieve data from cloud computing. The paper provides an application for “finding neighborhood from existing data stored.

Keywords: Cloud Computing; GIS; Kd-tree; Quadtree

Ahmed Teaima A. T, Hesham Ahmed Hefny. H. F. H and BahaaShabana B.S, “Enhancing Performance of GIS on Cloud Computing” International Journal of Advanced Computer Science and Applications(IJACSA), 6(11), 2015. http://dx.doi.org/10.14569/IJACSA.2015.061106

@article{T2015,
title = {Enhancing Performance of GIS on Cloud Computing},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2015.061106},
url = {http://dx.doi.org/10.14569/IJACSA.2015.061106},
year = {2015},
publisher = {The Science and Information Organization},
volume = {6},
number = {11},
author = {Ahmed Teaima A. T and Hesham Ahmed Hefny. H. F. H and BahaaShabana B.S}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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