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OODBMSObject Oriented Data Base Management System
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To evaluate the performance of our query-unnesting algorithm, we used the [Lambda]-DB OODBMS to optimize and run 13 nested OQL queries against a sample database.
Most modern OODBMS are intended to run on groups of workstations and servers.
Client-server OODBMS architectures typically use data-shipping, in which data items are sent from servers to clients so that query processing is performed at the client workstations.
It has been shown to have performance that is competitive with existing commercial OODBMS [Carey et al.
Any properly designed OODBMS can serve a client directly or be run as a member of a distributed system of servers with one server acting as the host [ILLUSTRATION FOR FIGURE 6 OMITTED].
In this application, the object library and the maintenance facility correspond to the object database and the OODBMS respectively.
A status report on the OO7 OODBMS benchmarking effort.
OODBMS applications phrase their requests logically, in terms of objects.
As with data transfers, the granularity at which cache consistency is maintained can have a large impact on the performance of an OODBMS.
We described three hybrid approaches for extending a page server OODBMS to support fine-grained cache consistency maintenance, and presented preliminary results regarding their relative performance, comparing them to both a basic object server and a basic page server.
In contrast, object-oriented database systems (OODBMS), which were initially developed to support computationally intensive applications such as computer aided design (CAD), typically support data-shipping, which allows data request processing (in addition to application processing) to be performed at the clients.
The client-server OODBMS architecture impacts the design of cache consistency maintenance protocols by enforcing a specific partitioning of responsibilities between clients and servers.