DocumentCode
1791569
Title
Minimizing data movement through query transformation
Author
Leyshock, Patrick ; Maier, David ; Tufte, Kristin
Author_Institution
Dept. of Comput. Sci., Portland State Univ., Portland, OR, USA
fYear
2014
fDate
27-30 Oct. 2014
Firstpage
311
Lastpage
316
Abstract
Reducing data movement between desktop analytic systems and server-based data management systems is an important resource-management challenge. The system presented in this paper automatically minimizes data movement in these “hybrid” analytic systems through rewrite-based query-transformation techniques pioneered in relational database query optimization. We evaluate different classes of transformations both in terms of query improvement and optimization time.
Keywords
Big Data; optimisation; query processing; relational databases; resource allocation; Big Data analytics; data movement minimization; desktop analytic systems; hybrid analytic systems; optimization time; query improvement; relational database query optimization; resource-management challenge; rewrite-based query-transformation techniques; server-based data management systems; Arrays; Big data; Computational modeling; Optimization; Query processing; Shape; Big-data analytics; R; SciDB; hybrid analytic systems; query optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Big Data (Big Data), 2014 IEEE International Conference on
Conference_Location
Washington, DC
Type
conf
DOI
10.1109/BigData.2014.7004246
Filename
7004246
Link To Document