TY - GEN
T1 - Integrating OGC Web Processing Service with cloud computing environment for Earth Observation data
AU - Zhang, Chen
AU - Di, Liping
AU - Sun, Ziheng
AU - Yu, Eugene G.
AU - Hu, Lei
AU - Lin, Li
AU - Tang, Junmei
AU - Rahman, Md Shahinoor
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/9/19
Y1 - 2017/9/19
N2 - Statistics show the volume of Earth Observation (EO) data increases in the exponential level during the past decade. As the new generation computing platform to meet the big data challenge, cloud computing significantly facilitates the large-scale EO data processing depending on its powerful computing capability. In this paper, we propose a Cloud WPS architecture integrating the cloud computing environment and OGC Web Services. Based on the architecture, we implement the architecture using GeoBrain Cloud, an Apache Cloudstack based private cloud computing platform, and a series of state-of-the-art open-source libraries and software. The result suggests that Web Processing Services and cloud computing environment could be successfully integrated by applying the proposed architecture.
AB - Statistics show the volume of Earth Observation (EO) data increases in the exponential level during the past decade. As the new generation computing platform to meet the big data challenge, cloud computing significantly facilitates the large-scale EO data processing depending on its powerful computing capability. In this paper, we propose a Cloud WPS architecture integrating the cloud computing environment and OGC Web Services. Based on the architecture, we implement the architecture using GeoBrain Cloud, an Apache Cloudstack based private cloud computing platform, and a series of state-of-the-art open-source libraries and software. The result suggests that Web Processing Services and cloud computing environment could be successfully integrated by applying the proposed architecture.
KW - Cloud Computing
KW - Earth Observation Data Processing
KW - OGC Web Services
KW - Web Processing Services
UR - http://www.scopus.com/inward/record.url?scp=85032801952&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85032801952&partnerID=8YFLogxK
U2 - 10.1109/Agro-Geoinformatics.2017.8047065
DO - 10.1109/Agro-Geoinformatics.2017.8047065
M3 - Conference contribution
AN - SCOPUS:85032801952
T3 - 2017 6th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2017
BT - 2017 6th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2017
Y2 - 7 August 2017 through 10 August 2017
ER -