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The rapid growth in the size of databases and the advances made in query languages has resulted in increased SQL query complexity submitted by users, which in turn slows down the speed of information retrieval from the database. The future of high-performance database systems lies in parallelism. Commercial vendors' database systems have introduced solutions but these have proved to be extremely expensive. This paper investigate how networked resources such as workstations can be utilised by using Parallel Virtual Machine (PVM) to optimise database query execution. An investigation and experiments of the scalability of the PVM are conducted.
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