Congratulation, Jin for finishing your Masters. Now you can start your PhD!
IHC3: An Integrated Hybrid Cloud Computing Cyberinfrastructure for GIS/RS Research
ABSTRACT: With the advancement of technologies, earth observation data could be obtained with finer spatial and spectral resolution. However, the increasing volume and complexity of those high resolution data presents new challenges in geographic information system (GIS) and remote sensing (RS) research, such as heterogeneous distributed data handling, efficient parallel data processing algorithms, easy manageability of the underlying cyberinfrastructure, new collaboration model and lower computation costs. Geospatial cloud computing is leveraged in GIS/RS research to address the challenges of heterogeneous distributed data and its processing. Although the early experience has proven it is a great success to utilize cloud computing in GIS/RS research, the manageability of the cyberinfrastructure cannot be neglected. To be manageable, I argue that cloud computing must handle domain specific problems in GIS/RS, manage privacy of data, ease of use, and be inexpensive.