Performance analysis of several back-end database architectures
ACM Transactions on Database Systems (TODS)
How not to lie with statistics: the correct way to summarize benchmark results
Communications of the ACM - The MIT Press scientific computation series
A measure of transaction processing power
Datamation
Analysis of Database System Architectures Using Benchmarks
IEEE Transactions on Software Engineering
A retrospective on the Wisconsin benchmark
Readings in database systems
A benchmark of NonStop SQL on the debit credit transaction
SIGMOD '88 Proceedings of the 1988 ACM SIGMOD international conference on Management of data
A performance analysis of the gamma database machine
SIGMOD '88 Proceedings of the 1988 ACM SIGMOD international conference on Management of data
Performance analysis of transaction processing systems
Performance analysis of transaction processing systems
On Workload Characterization of Relational Database Environments
IEEE Transactions on Software Engineering
A modeling study of the TPC-C benchmark
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Evaluation and selection of file organization—a model and system
Communications of the ACM
Benchmark Handbook: For Database and Transaction Processing Systems
Benchmark Handbook: For Database and Transaction Processing Systems
A methodology for database system performance evaluation
SIGMOD '84 Proceedings of the 1984 ACM SIGMOD international conference on Management of data
Benchmarking Database Systems A Systematic Approach
VLDB '83 Proceedings of the 9th International Conference on Very Large Data Bases
Comparative Benchmarking of Relational Database Systems
Comparative Benchmarking of Relational Database Systems
Markovian workload modeling for Enterprise Application Servers
C3S2E '09 Proceedings of the 2nd Canadian Conference on Computer Science and Software Engineering
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Benchmarks are the vital tools in the performance measurement, evaluation, and comparison of relational database management systems (RDBMS). Standard benchmarks such as the TP1, TPC-A, TPC-B, TPC-C, TPC-D, TPC-H, TPC-R, TPC-W, Wisconsin, and AS3 Ap benchmarks have been used to assess the performance of relational database management systems. These benchmarks are synthetic and domain-specific. Test results from these benchmarks are estimates of possible system performance for certain pre-determined application types. Database system performance on actual database domain may vary significantly from those in the standard benchmarks. In this paper, we describe a new benchmark method that is computer-assisted and developed from the perspective of the user's requirements.