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Database technology is evolving to accommodate complex multimedia Cariiio objects-data types that present unique challenges in the storage and Catherine Boss movement of large timedependent objects. The manipulation and analysis of these large and semantically rich objects require techniques far different from those used for alphanumeric databases. This paper presents multimedia server-based architectures based on massively parallel processor systems and an object-relational database management system. The transition from client-centric multimedia applications to a client/server environment is examined, and several applications are discussed that illustrate the use of multimedia database servers based on the object-relational model. Finally, this paper reviews the architecture of two scaleable multimedia servers that can support these applications: MoonBase, a database server with full content analysis capability for multimedia objects, and the audio/video server, a system-based file server that can operate within the MoonBase architecture.

This paper describes the StorHouse/Relational Manager (RM) database system that uses and exploits an active storage hierarchy. By active storage hierarchy, we mean that StorHouse/RM executes SQL queries directly against data stored on all hierarchical storage (i.e. disk, optical, and tape) without post processing a file or a DBA having to manage a data set. We describe and analyze StorHouse/RM features and internals. We also describe how StorHouse/RM differs from traditional HSM (Hierarchical Storage Management) systems. For commercial applications we describe an evolution to the Data Warehouse concept, called Atomic Data Store, whereby atomic data is stored in the database system. Atomic data is defined as storing all the historic data values and executing queries against them. We also describe a Hub-and-Spoke Data Warehouse architecture, which is used to feed or fuel data into Data Marts.Furthermore, we provide analysis how StorHouse/RM can be federated with DB2, Oracle and Microsoft SQL Server 7 (SS7) and thus provide these databases an active storage hierarchy (i.e. tape). We then show two federated data modeling techniques (a) logical horizontal partitioning (LHP) of tuples and (b) logical vertical partitioning (LVP) of columns to demonstrate our database extension capabilities.We conclude with a TPC-like performance analysis of data stored on tape and disk.

This paper describes the StorHouse/Relational Manager (RM) database system that uses and exploits an active storage hierarchy. By active storage hierarchy, we mean that StorHouse/RM executes SQL queries directly against data stored on all hierarchical storage (i.e. disk, optical, and tape) without post processing a file or a DBA having to manage a data set. We describe and analyze StorHouse/RM features and internals. We also describe how StorHouse/RM differs from traditional HSM (Hierarchical Storage Management) systems. For commercial applications we describe an evolution to the Data Warehouse concept, called Atomic Data Store, whereby atomic data is stored in the database system. Atomic data is defined as storing all the historic data values and executing queries against them. We also describe a Hub-and-Spoke Data Warehouse architecture, which is used to feed or fuel data into Data Marts.Furthermore, we provide analysis how StorHouse/RM can be federated with DB2, Oracle and Microsoft SQL Server 7 (SS7) and thus provide these databases an active storage hierarchy (i.e. tape). We then show two federated data modeling techniques (a) logical horizontal partitioning (LHP) of tuples and (b) logical vertical partitioning (LVP) of columns to demonstrate our database extension capabilities.We conclude with a TPC-like performance analysis of data stored on tape and disk.

No abstract