Making Spatial Statistics Service Accessible On Cloud Platform
Web service can bring together applications running on diverse platforms, users can access and share various data, information and models more effectively and conveniently from certain web service platform. Cloud computing emerges as a paradigm of Internet computing in which dynamical, scalable and...
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Copernicus Publications
2014-04-01
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Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
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doaj-c9f45c9ca953417c91108a49c850a29e2020-11-25T01:01:53ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342014-04-01XL-6737810.5194/isprsarchives-XL-6-73-2014Making Spatial Statistics Service Accessible On Cloud PlatformX. Mu0J. Wu1T Li2Y. Zhong3X. Gao4School of Resource and Environmental Science of Wuhan University, 129 LuoyuRoad, Wuhan 430079, ChinaSchool of Resource and Environmental Science of Wuhan University, 129 LuoyuRoad, Wuhan 430079, ChinaSchool of Resource and Environmental Science of Wuhan University, 129 LuoyuRoad, Wuhan 430079, ChinaSchool of Resource and Environmental Science of Wuhan University, 129 LuoyuRoad, Wuhan 430079, ChinaSchool of Resource and Environmental Science of Wuhan University, 129 LuoyuRoad, Wuhan 430079, ChinaWeb service can bring together applications running on diverse platforms, users can access and share various data, information and models more effectively and conveniently from certain web service platform. Cloud computing emerges as a paradigm of Internet computing in which dynamical, scalable and often virtualized resources are provided as services. With the rampant growth of massive data and restriction of net, traditional web services platforms have some prominent problems existing in development such as calculation efficiency, maintenance cost and data security. In this paper, we offer a spatial statistics service based on Microsoft cloud. An experiment was carried out to evaluate the availability and efficiency of this service. The results show that this spatial statistics service is accessible for the public conveniently with high processing efficiency.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-6/73/2014/isprsarchives-XL-6-73-2014.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
X. Mu J. Wu T Li Y. Zhong X. Gao |
spellingShingle |
X. Mu J. Wu T Li Y. Zhong X. Gao Making Spatial Statistics Service Accessible On Cloud Platform The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
author_facet |
X. Mu J. Wu T Li Y. Zhong X. Gao |
author_sort |
X. Mu |
title |
Making Spatial Statistics Service Accessible On Cloud Platform |
title_short |
Making Spatial Statistics Service Accessible On Cloud Platform |
title_full |
Making Spatial Statistics Service Accessible On Cloud Platform |
title_fullStr |
Making Spatial Statistics Service Accessible On Cloud Platform |
title_full_unstemmed |
Making Spatial Statistics Service Accessible On Cloud Platform |
title_sort |
making spatial statistics service accessible on cloud platform |
publisher |
Copernicus Publications |
series |
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
issn |
1682-1750 2194-9034 |
publishDate |
2014-04-01 |
description |
Web service can bring together applications running on diverse platforms, users can access and share various data, information and
models more effectively and conveniently from certain web service platform. Cloud computing emerges as a paradigm of Internet
computing in which dynamical, scalable and often virtualized resources are provided as services. With the rampant growth of massive
data and restriction of net, traditional web services platforms have some prominent problems existing in development such as
calculation efficiency, maintenance cost and data security. In this paper, we offer a spatial statistics service based on Microsoft cloud.
An experiment was carried out to evaluate the availability and efficiency of this service. The results show that this spatial statistics
service is accessible for the public conveniently with high processing efficiency. |
url |
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-6/73/2014/isprsarchives-XL-6-73-2014.pdf |
work_keys_str_mv |
AT xmu makingspatialstatisticsserviceaccessibleoncloudplatform AT jwu makingspatialstatisticsserviceaccessibleoncloudplatform AT tli makingspatialstatisticsserviceaccessibleoncloudplatform AT yzhong makingspatialstatisticsserviceaccessibleoncloudplatform AT xgao makingspatialstatisticsserviceaccessibleoncloudplatform |
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