Features of the HDFEOS Datablade Software Architecture The HDF-EOS library, although non-reentrant, still runs unchanged in the database, with no code modifications. The File-I/O-Emulator (FIOE) catches HDF-EOS I/O calls, and is optimized to handle subsetting I/O patterns. Potential to optimize for other patterns as well. The FIOE allows us to manage the data inside the database, or allow visibility to the data outside. User is not forced into one world or the other. Advantage of putting it inside is that you get extra safety features such as transaction management and recovery. Legacy science software can continue to run on the data if left outside. Can expose valuable indexable data inside the database as necessary. (Vdata example) So how does this architecture perform?….
This picture goes with demo #2.
HDF-EOS Datablade: Efficiently Serving Earth Science Data
Efficiently Serving Earth Science Data
What is a Datablade?
Extending the server by
adding DataBlades: new Types
and new functions
What does the HDF-EOS Datablade
• Inventory management of large volume data and
• Flexible access to the data as a file or BinaryLarge-Object inside the database.
• Cross-granule searching and subsetting
• Re-use other datablades such as spatial search
tools from Informix
• Implements Grid subsetting operations in the
Plans for the Second Year
Implement Swath, Point, HDF datatypes
General subsetting tool: stored queries
Metadata search and query tools
Implement MISR Quality-Assessment database
HDF-EOS Datablade Software Architecture