Spatial Cloud Computing

Huang Q., Li, J., Li, Z., (2017)  A Hybrid Cloud Platform Based on Multi-sourced Computing and Model Resources for Geosciences, International Journal of Digital Earth.

Yang C., Huang Q., Li Z., Liu K., Fei Hu. (2017).  Big Data and cloud computing: innovation opportunities and challengesInternational Journal of Digital Earth, 10(1),1-41.

Li, Z., Yang, C., Liu, K., Hu, F., & Jin, B. (2016). Automatic Scaling Hadoop in the Cloud for Efficient Process of Big Geospatial DataISPRS International Journal of Geo-Information, 5(10), 173.

Li Z., Yang C., Yu M., Liu K., Sun M.(2015) Enabling Big Geoscience Data Analytics with a Cloud-based, MapReduce-enabled and Service-oriented Workflow FrameworkPloS one, 10(3), e0116781.

Li Z., Yang, C., Huang, Q., Liu K., Sun, M., Xia, J., (2014). Building Model as a Service for Supporting Geosciences,Computers, Environment and Urban Systems. DOI: 10.1016/j.compenvurbsys.2014.06.004

Xia J., Yang C., Liu K., Gui Z., Li Z., Huang Q., & Li R., (2014). Adopting cloud computing to optimize spatial web portals for better performance to support Digital Earth and other global geospatial initiativesInternational Journal of Digital Earth. DOI:10.1080/17538947.2014.929750

Huang Q., Yang C., Liu K., Xia J., Xu C., Li J., Li Z., (2013). Evaluating open-source cloud computing solutions for geosciencesComputers & Geosciences, 59, 41-52

Li Z. and Xu J., (2012). Location Based Service Platform Construction Based on Cloud Computing. Geomatics World, 2012(1): 69-71. (in Chinese)

Li, Z., Huang, Q., and Gui, Z., (2013). Enabling Technologies. In Yang C., Huang Q., Li Z., Xu C., Liu K(Eds.), Spatial cloud computing: a practical approach (pp. 33-48) CRC Press/Taylor & Francis

Huang, Q., Li, Z., Xia, J., Jiang, Y., Xu, C., Liu, K., et al., (2013). Accelerating Geocomputation with Cloud Computing. In Shi X., Kindratenko V., and Yang C. (Eds.), Modern Accelerator Technologies for Geographic Information Science (pp. 41-51). Springer US.

Li J., Li, Z., Sun M., Liu K., (2013). Cloud-enabling Climate@Home. In Yang C., Huang Q., Li Z., Xu C., Liu K.,(Eds.), Spatial cloud computing: a practical approach (pp. 143-160).  CRC Press/Taylor & Francis

Huang, Q., Li, Z., Liu K., Xia J., Jiang Y., Xu C., Yang C., (2013). Handling of Data, Computing, Concurrent and Spatiotemporal Intensities. In Yang C., Huang Q., Li Z., Xu C., Liu K.,(Eds.), Spatial cloud computing: a practical approach(pp. 275-294).  CRC Press/Taylor & Francis

Yang C., Huang Q., Gui Z., Li Z., Xu C., Jiang Y., Li J., (2013). Cloud Computing Research for Geosciences. In Yang C., Huang Q., Li Z., Xu C., Liu K.,(Eds.), Spatial cloud computing: a practical approach (pp. 295-310).  CRC Press/Taylor & Francis

Yu, M., Yang, C., Li, Z., Liu, K., & Chen, S. (2015), Enabling the Acceleration of Dust Simulation using Job Scheduling Methods in a Cloud Environment. In Proceedings of the 13th International Conference on GeoComputation

Book:

Yang C., Huang Q., Li Z., Xu C., Liu K. (Eds.), (2013). Spatial Cloud Computing: A Practical Approach, CRC Press/Taylor & Francis

 

Translate »