Performance analysis of a relational data base management system
SIGMOD '79 Proceedings of the 1979 ACM SIGMOD international conference on Management of data
A Multi-Backend Database System for Performance Gains, Capacity Growth and Hardware Upgrade
Proceedings of the Second International Conference on Data Engineering
A methodology for benchmarking relational database machines
A methodology for benchmarking relational database machines
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In this paper a computer-aided benchmarking methodology for a new kind of database computers is introduced. The emergence of this new kind of parallel database computers (known as the multiple-backend database computers) in the research community and in the commercial world, where each computer system is configured with two or more identical processors and their associated stores for concurrent execution of transactions and for parallel processing of a centralized database spread over separate stores, is evident. The need and lack of a methodology for benchmarking the new database computer with a variable number of backends for the same database or with a fixed number of backends for different database capacities is pronounced. The measures (benchmarks) of the new database computer are articulated and established and the design of the methodology for conducting the measurements is then given in this paper. The computer-aided benchmarking system (CABS), which computerizes the benchmarking methodology for systematically assisting the design of test databases and test-transaction mixes, for automatically tallying the design data and workloads, and for completely generating the test databases and test-transaction mixes, is reported also herein.