Increase Data Production Efficiency by Deploying Low-Cost Distributed Processing

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    Darrick Wagg
    Darrick Wagg

    08Feb2007Purpose:This technical note is a companion to the briefing note “Command Dispatch System in GeoCue Enterprise”, which describes GeoCue’s Command Dispatch System in detail and includestechnical information on the architecture and implementation of distributed processing functions within GeoCue. The purpose of this companion note is to discuss how distributed processing canbe deployed to improve overall efficiency for a specific workflow – in this case lidar data production. In the context of geospatial data production, there are three valuable, but difficult to implement features that can directly impact the efficiency of a particular production environment:

    • Running commands on a computer other than the one from which the command is invoked.
    • Scheduling a command to run at a later time.
    • Distributing commands that operate on multiple objects across multiple computers.

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