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  Efficient Parallel Query Processing by Graph Ranking
 
 
Title: Efficient Parallel Query Processing by Graph Ranking
Author: Dariusz Dereniowski
Marek Kubale
Appeared in: Fundamenta informaticae
Paging: Volume 69 (2005) nr. 3 pages 273-285
Year: 2005-12-19
Contents: In this paper we deal with the problem of finding an optimal query execution plan in database systems. We improve the analysis of a polynomial-time approximation algorithm due to Makino et al. for designing query execution plans with almost optimal number of parallel steps. This algorithm is based on the concept of edge ranking of graphs. We use a new upper bound for the edge ranking number of a tree to derive a better worst-case performance guarantee for this algorithm. We also present some experimental results obtained during the tests of the algorithm on random graphs in order to compare the quality of both approximation ratios on average. Both theoretical analysis and experimental results indicate the superiority of our approach.
Publisher: IOS Press
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

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