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.
Chen Zhang, Liping Di, Ziheng Sun, G Yu Eugene, Lei Hu, Li Lin, Junmei Tang, Md Shahinoor Rahman. "Integrating OGC Web Processing Service with cloud computing environment for Earth Observation data," Agro-Geoinformatics, 2017 6th International Conference on, 2017. DOI: 10.1109/Agro-Geoinformatics.2017.8047065This material is based upon work supported by the National Science Foundation under Grant No. 1440294. Opinions, findings, conclusions or recommendations expressed are those of the authors and do not reflect the views of the NSF.