STEADY - A Tool for Predicting Performance of Parallel DBMSs

Authors:
Euan W. Dempster;M. Howard Williams;Neven Tomov;Chai Seng Pua;Albert Burger;Peter J. B. King
Affiliations:
-;-;-;-;-;-
Venue:
TOOLS '00 Proceedings of the 11th International Conference on Computer Performance Evaluation: Modelling Techniques and Tools
Year:
2000

Citing 2
Cited 0

Modelling Parallel Oracle for Performance Prediction

Distributed and Parallel Databases
Cache Modeling in a Performance Evaluator for Parallel Database Systems

MASCOTS '97 Proceedings of the 5th International Workshop on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems

Quantified Score

Hi-index	0.00

Visualization

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.