TY - JOUR
T1 - Adopting cloud computing to optimize spatial web portals for better performance to support Digital Earth and other global geospatial initiatives
AU - Xia, Jizhe
AU - Yang, Chaowei
AU - Liu, Kai
AU - Gui, Zhipeng
AU - Li, Zhenlong
AU - Huang, Qunying
AU - Li, Rui
N1 - Publisher Copyright:
© 2014, © 2014 Taylor & Francis.
PY - 2015/6/3
Y1 - 2015/6/3
N2 - A spatial web portal (SWP) provides a web-based gateway to discover, access, manage, and integrate worldwide geospatial resources through the Internet and has the access characteristics of regional to global interest and spiking. Although various technologies have been adopted to improve SWP performance, enabling high-speed resource access for global users to better support Digital Earth remains challenging because of the computing and communication intensities in the SWP operation and the dynamic distribution of end users. This paper proposes a cloud-enabled framework for high-speed SWP access by leveraging elastic resource pooling, dynamic workload balancing, and global deployment. Experimental results demonstrate that the new SWP framework outperforms the traditional computing infrastructure and better supports users of a global system such as Digital Earth. Reported methodologies and framework can be adopted to support operational geospatial systems, such as monitoring national geographic state and spanning across regional and global geographic extent.
AB - A spatial web portal (SWP) provides a web-based gateway to discover, access, manage, and integrate worldwide geospatial resources through the Internet and has the access characteristics of regional to global interest and spiking. Although various technologies have been adopted to improve SWP performance, enabling high-speed resource access for global users to better support Digital Earth remains challenging because of the computing and communication intensities in the SWP operation and the dynamic distribution of end users. This paper proposes a cloud-enabled framework for high-speed SWP access by leveraging elastic resource pooling, dynamic workload balancing, and global deployment. Experimental results demonstrate that the new SWP framework outperforms the traditional computing infrastructure and better supports users of a global system such as Digital Earth. Reported methodologies and framework can be adopted to support operational geospatial systems, such as monitoring national geographic state and spanning across regional and global geographic extent.
UR - https://www.scopus.com/pages/publications/84929131623
UR - https://www.scopus.com/pages/publications/84929131623#tab=citedBy
U2 - 10.1080/17538947.2014.929750
DO - 10.1080/17538947.2014.929750
M3 - Article
AN - SCOPUS:84929131623
SN - 1753-8947
VL - 8
SP - 451
EP - 475
JO - International Journal of Digital Earth
JF - International Journal of Digital Earth
IS - 6
ER -