Research on Architecture On-Demands for Data Intensive Geoscience Product

To illustrate the architecture on-demands for data intensive geoscience product (AODIGP) processing, this paper proposed a division method of working domains which cover tasks domain, resources domain, and flows domain. Take the remote sensing products in common properties as instance, products requirements would be parsed by means of knowledge base and inference engine. Abstract description method of remote sensing products can be used to constitute the workflow according to near data computing (NDC) ruler. Finally we verified the availability of AODIGP by constructing data center resources cooperatively-scheduled system (DCRCSS) and presented the improvement in the future.