Abstract
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.
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© 2000 Springer-Verlag Berlin Heidelberg
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Dempster, E.W., Williams, M.H., Tomov, N.T., Pua, C.S., Burger, A., King, P.J.B. (2000). STEADY — A Tool for Predicting Performance of Parallel DBMSs. In: Haverkort, B.R., Bohnenkamp, H.C., Smith, C.U. (eds) Computer Performance Evaluation.Modelling Techniques and Tools. TOOLS 2000. Lecture Notes in Computer Science, vol 1786. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46429-8_32
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DOI: https://doi.org/10.1007/3-540-46429-8_32
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