Representation of Spatial Data Processing Pipelines Using Relational Database


  • Igor G. Okladnikov Institute of Monitoring of Climatic and Ecological Systems of the Siberian Branch of the Russian Academy of Sciences (IMCES SB RAS)



spatial data, information systems, databases, workflow, directed multigraph, processing pipeline, climate research


A methodology for representation of spatial data processing pipelines using relational database within the framework of the computing backend of the online information-analytical system “Climate” ( is proposed. Each pipeline is represented by a sequence of instructions for the computing backend describing how to run data processing modules and pass datasets between them (from the output of one module to the input of another one), including raw data and final computational results obtained in graphical or binary formats. Using relational database for storing descriptions of processing pipelines used in the “Climate” system provides flexibility and efficiency while adding and developing spatial data processing modules. It also provides computing pipelines scaling for further implementation for multiprocessor systems.


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How to Cite

Okladnikov, I. G. (2022). Representation of Spatial Data Processing Pipelines Using Relational Database. Supercomputing Frontiers and Innovations, 8(4), 40–49.