Predicting the performance of a parallel relational DBMS executing an arbitrary set of transactions on particular data sets for different architectural configurations with different data placement strategies is a non-trivial task. An analytical tool has been developed to assist with this task and can be used for application sizing, capacity planning and performance tuning.

This software is also peer reviewed by journal TOMS.

References in zbMATH (referenced in 4 articles , 1 standard article )

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  1. Bordyugov, Grigory; Engel, Harald: Continuation of spiral waves (2007)
  2. Dempster, E. W.; Tomov, N. T.; Williams, M. H.; Taylor, H.; Burger, A.; Trinder, P.; Lü, J.; Broughton, P.: Modelling parallel oracle for performance prediction (2003) ioport
  3. Dempster, Euan W.; Williams, M. Howard; Tomov, Neven T.; Pua, Chai Seng; Burger, Albert; King, Peter J. B.: STEADY -- a tool for predicting performance of parallel DBMSs (2000)
  4. Zhou, Shaoyu; Williams, M. Howard; Taylor, Hamish: Practical throughput estimation for parallel databases. (1996) ioport