Parallel query processing in shared disk database systems
ACM SIGMOD Record
Optimization of Parallel Execution for Multi-Join Queries
IEEE Transactions on Knowledge and Data Engineering
Survey of Architectures of Parallel Database Systems
Programming and Computing Software
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Over the past ten years data storage systems in both the commercial and scientific realms have experienced what can be called an “Information Explosion.” This exponential increase in the demand for storage and access to data is the result of fundamental changes in the economics of underlying technologies. The speed and accuracy of data collection has more than doubled. The speed of data transmission has risen an order of magnitude while price has halved. The cost per megabyte of permanent storage has dropped by an order of magnitude. Client desktop computers have gone from .5 MIPS to 100 MIPS. These underlying factors have created user demands for data servers of unprecenented proportions. Oracle relational database technology implemented on Massively Parallel hardware architectures allows both OLTP and Decision support on the same database image. Both queries and transaction processing power scale linearly on MPP platforms. This technology delivers scalable RDBMS super-servers.