2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID) (2018)
Washington, DC, USA
May 1, 2018 to May 4, 2018
In recent years, the scientific research model of Data - Model - Simulating has become one of the main methods to support the surface process research in the high-cold environment (alpine cold area and high latitude cold area). This kind of research mode needs the e-Geoscience environment based on data, models, high performance computing, and visualization and collaborative to support. In this paper, a highly efficient platform named High-cold environment joint Observation and Research cloud of China (HeorCloud) is established for Geoscience research in high and cold regions of china based on cloud computing technologies. HeorCloud implemented the unified service system named Gateway, be used to achieve the resources of data, model, computing, visualization combination and optimization configuration. Ultimately, besides providing the basic services of data, model and computing resource sharing, the platform also constructs online research community of some professional field contains data, analytical tools, models and computing resources based on Gateway. So far, the platform has realized the atmosphere, hydrology, remote sensing, permafrost research community applicable to the high-cold environment of China, and has been constantly expanding resources.
cloud computing, geophysics computing
Y. Min, Y. Zhang, J. Huo, K. Feng, J. Kang and G. Zhao, "High-Cold Environment Joint Observation and Research Cloud of China," 2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), Washington, DC, USA, 2018, pp. 374-377.