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Integer Linear Programming Solution for the Multiple Query Optimization Problem
Date
2014-10-28
Author
Dokeroglu, Tansel
Bayir, Murat Ali
Coşar, Ahmet
Metadata
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Multiple Query Optimization (MQO) is a technique for processing a batch of queries in such a way that shared tasks in these queries are executed only once, resulting in significant savings in the total evaluation. The first phase of MQO requires producing alternative query execution plans so that the shared tasks between queries are identified and maximized. The second phase of MQO is an optimization problem where the goal is selecting exactly one of the alternative plans for each query to minimize the total execution cost of all queries. A-star, branch-and-bound, dynamic programming (DP), and genetic algorithm (GA) solutions for MQO have been given in the literature. However, the performance of optimal algorithms, A-star and DP, is not sufficient for solving large MQO problems involving large number of queries. In this study, we propose an Integer Linear Programming (ILP) formulation to solve the MQO problem exactly for a large number of queries and evaluate its performance. Our results show that ILP outperforms the existing A-star algorithm.
Subject Keywords
A-star
,
Multiple query optimization
,
Linear programming
URI
https://hdl.handle.net/11511/29953
DOI
https://doi.org/10.1007/978-3-319-09465-6_6
Collections
Graduate School of Natural and Applied Sciences, Conference / Seminar
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T. Dokeroglu, M. A. Bayir, and A. Coşar, “Integer Linear Programming Solution for the Multiple Query Optimization Problem,” 2014, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/29953.
