Abstract
Performance predication is a valuable technique for the application sizing, capacity planning and performance tuning of database systems. It allows design choices to be tested easily and cheaply. It can highlight potential performance problems in designs before any construction conducted. Background process is one of the most important activities involved in database operation. The way of estimating the cost of background processes will greatly affect the accuracy of performance predication for the entire system. An approximation modelling approach for background processes in parallel database systems is introduced. This approach could be used in analytical tools for performance prediction of shared-nothing and shared-disk parallel database systems.
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© 2000 Springer Science+Business Media Dordrecht
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Lü, K.J. (2000). Modelling Background Processes in Parallel Database Systems for Performance Prediction. In: Filipe, J. (eds) Enterprise Information Systems. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-9518-6_12
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DOI: https://doi.org/10.1007/978-94-015-9518-6_12
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-5425-8
Online ISBN: 978-94-015-9518-6
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