A Regression Dependent Iterative Algorithm for Optimizing Top-K Selection in Simulation Query Language

Susan Farley, Alexander Brodsky and Chun-Hung Chen
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Susan Farley: George Mason University, USA
Alexander Brodsky: George Mason University, USA
Chun-Hung Chen: National Taiwan University, Taiwan

International Journal of Decision Support System Technology (IJDSST), 2012, vol. 4, issue 3, 12-24

Abstract: In this paper the authors propose an extension of the algorithm General Optimal Regression Budget Allocation ScHeme (GORBASH) for iteratively optimizing simulation budget allocation while minimizing the total processing cost for top-k queries. They also implement this algorithm as part of SimQL: an extension of SQL that includes probability functions expressed through stochastic simulation.

Date: 2012
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