2 edition of PROPHET: a layered analytical model for performance prediction of database systems. found in the catalog.
PROPHET: a layered analytical model for performance prediction of database systems.
Ignacio R.* Casas
Written in English
|The Physical Object|
|Number of Pages||225|
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Serry, Alaa, An Analytical Approach to Modelling IMS Systems () Walstra, B. Robbe J., Iterative Analysis of Networks of Queues () Casas-Raposo, Ignacio, PROPHET: A Layered Analytical Model for Performance Prediction of Database Systems () Hyslop, William, Performance Prediction of Relational Database Management Systems.
The interested reader is forwarded to ,  As a statistical metric for the model performance and for allowing a comparison to related work (e.g., , ), which consider the same.
The paper proposes a graph-grammar based method for transforming automatically a UML model annotated with performance information into a Layered Queueing Network (LQN) performance model.
The use of the unmodified genetic algorithm had removed 13 variables; while the CIGAL then further removed 20 variables from the 30 total variables in the faculty evaluation dataset. Consequently, the integration of the CIGAL to the KNN (CIGAL-KNN) prediction model improved the KNN prediction accuracy to %.
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Time series prediction problems are a difficult type of predictive modeling problem. Unlike regression predictive modeling, time series also adds the complexity of a sequence dependence among the input variables.
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This book provides a systematic analysis, modeling and evaluation of the performance of advanced transport systems. It offers an innovative approach by presenting a multidimensional examination of the performance of advanced transport systems and transport modes, useful for both theoretical and practical purposes.
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