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Foil 50 TPC-D - a Decision Support Benchmark?
Scalability Issues

From Explicit Examples in Parallel Relational Databases CPS600 Spring Semester -- April 1995. by Gang Cheng Marek Podgorny (Geoffrey Fox) * See also color IMAGE

Is TPC-D suitable for parallel DBMS evaluation?
  • No scalability performance metrics suitable for parallel data query evaluation i.e., query time vs. number of instances (CPUs), and/or, query time vs. available I/O resources ( I/O channels, drivers, disks and disk partitions)
Scalability of a parallel database system relies on both CPU resources and I/O resources.
By using multiple instances (CPUs), parallel server/query decreases query response time and increases throughput.
By using partitioned data on multiple disks (with multiple I/O channels), parallel server/query achieves higher I/O bandwidth for large DBs.
The two characteristics are equally important and must be benchmarked together. In current TPC-D specification, neither performance metrics is defined.



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