A modular software architecture for processing of big geospatial data in the cloud
We present a cloud-based architecture for the processing of large-volume geospatial data. Our architecture is modular and supports a large number of geoprocessing algorithms. Compared to other work it is also configurable and can be deployed to multiple platforms. Geoprocesses can be controlled through a flexible domain-specific language. We make use of a rule-based system for process mapping and node configuration.
software architectures geoprocessing domain-specific languages cloud computing big data distributed systems