Title :
Performance and Scalability of XML Query Processing
Author :
Hains, Gaétan ; Alrammal, Muath
Author_Institution :
Lab. d´´Algorithmique, Complexite et Logique, Univ. Paris-Est, Creteil, France
Abstract :
This paper discusses basic issues about the performance of semi-structured query processing in very large data sets. It is based on recent algorithm-engineering work, on the state of the art in performance management for XML query processing and on theoretical studies about the complexity structure of the querying problem. Its main conclusions provide a concrete view on the interaction between terabyte scale XML data, query complexity and current or future computer architectures. To provide a concrete and synthetic view of this diverse body of knowledge, the presentation follows a fictional use case whose characters face query problems of varying complexity that are set in multiple contexts and analyzed today before being projected to 2020 and 2030.
Keywords :
XML; computational complexity; data mining; query processing; very large databases; XML query processing; complexity structure; large-scale XML data-mining activity; performance management; query complexity; semi-structured query processing; terabyte scale XML data; very large data sets; Delay; Internet; Query processing; Random access memory; Servers; Supercomputers; XML; Optimization of data mining applications that use XML databases; Parallel and stream-processing for XML queries; scalability of queries and XPath fragments;
Conference_Titel :
Complex, Intelligent and Software Intensive Systems (CISIS), 2012 Sixth International Conference on
Conference_Location :
Palermo
Print_ISBN :
978-1-4673-1233-2
DOI :
10.1109/CISIS.2012.18