DocumentCode :
2721421
Title :
Interactive preference-aware query optimization
Author :
Ong, N.R. ; Rojcewicz, S.E. ; Farnan, N.L. ; Lee, A.J. ; Chrysanthis, P.K. ; Yu, T.
Author_Institution :
Dept. of Comput. Sci., Univ. of Pittsburgh, Pittsburgh, PA, USA
fYear :
2015
fDate :
13-17 April 2015
Firstpage :
1512
Lastpage :
1515
Abstract :
PASQL is an extension to SQL that allows users of a distributed database to specify privacy constraints on an SQL query evaluation plan. However, privacy constraints can be difficult for users to specify, and worse yet, all possible situations that could lead to a privacy violation may not be known to the user a priori. To address these challenges, we propose a GUI-based interactive process for detecting such violations and generating appropriate constraints. In this work, we demonstrate two approaches to implementing such a GUI that provide different ways of analyzing and interactively optimizing a PASQL query plan.
Keywords :
SQL; data privacy; graphical user interfaces; query processing; relational databases; GUI; GUI-based interactive process; PASQL query plan; SQL query evaluation plan; constraint generation; distributed database; interactive preference-aware query optimization; privacy constraints; violation detection; Data privacy; Graphical user interfaces; Image color analysis; Privacy; Query processing; Servers; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering (ICDE), 2015 IEEE 31st International Conference on
Conference_Location :
Seoul
Type :
conf
DOI :
10.1109/ICDE.2015.7113414
Filename :
7113414
Link To Document :
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