Sun StorageTek 5800 System: Difference between revisions

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The Sun StorageTek 5800 System (codename: Honeycomb) is an object-based storage system from Sun Microsystems that uses a symmetric clustered design with both processing and storage functions within a system cell. It is designed for data archive, repository, and distribution applications used by institutions to store large amounts of digital information such as medical information, e-Research, rich media, and digitized historical records.

With a customer-definable metadata schema, the system offers the ability to program the entire indexing schema used to tag and search data. This solution combines a fully native design with systems expertise to create a storage system that runs the Solaris operating system and leverages Java development tools to drive a closer integration between compute and store assets in a data center.^[1]

External links

^ https://docs.oracle.com/cd/E19851-01/820-4119-10/prod_overview.html#50618373_pgfId-1002617

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 The '''Sun StorageTek 5800 System''' ([[codename]]: Honeycomb) is an object-based storage system from [[Sun Microsystems]] that uses a symmetric clustered design with both processing and storage functions within a system cell.  It is designed for data archive, [[Information repository|repository]], and distribution applications used by institutions to store large amounts of digital information such as medical information, e-Research, [[rich media]], and digitized historical records.
-With a customer-definable metadata schema, the system offers the ability to program the entire indexing schema used to tag and search data. This solution combines a fully native design with systems expertise to create a storage system that runs the Solaris operating system and leverages [[Java (programming language)|Java]] development tools to drive a closer integration between compute and store assets in a [[data center]].
+With a customer-definable metadata schema, the system offers the ability to program the entire indexing schema used to tag and search data. This solution combines a fully native design with systems expertise to create a storage system that runs the Solaris operating system and leverages [[Java (programming language)|Java]] development tools to drive a closer integration between compute and store assets in a [[data center]].<ref>https://docs.oracle.com/cd/E19851-01/820-4119-10/prod_overview.html#50618373_pgfId-1002617</ref>
 ==External links==