Mapping the data warehouse
to a multiprocessor architecture
To
manage large number of client requests efficiently, database vendor’s designed parallel
hardware architectures by implementing multiserver and multithreaded systems.
This is called interquery parallism in which different server threads handle
multiple requests at the same time.
This can be implemented
on SMP systems, where it increases throughput and allowed the support of more
concurrent users.
Data warehouse can be
mapped into different type of architectures as follows:
·
Shared memory architecture
·
Shared disk architecture
·
Shared nothing architecture
This architecture is
simple to implement and the key idea is that a single RDBMS server can
potentially utilize all processors, access all memory and access the entire
database.
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