Research on Parallel Query of XML Stream Data Based on Pushdown Transducers

DOI

10.2991/caai-17.2017.98How to use a DOI?

Keywords

XML stream; XPath; ordered tree pattern; pushdown transducer; data parallel

Abstract

the social networking, network monitoring and financial applications have a need to query high rate streaming of XML data, but previous methods for executing XPath queries on streaming XML data have not kept pace with multicore CPUs. Data parallel query methods can improve processing efficiency by using multi-core CPU. Push down transducer as a special type of automaton, it not only can be used to handle XML data, and its internal stack structure can preserve the important information in the processing, so it can combine with the data parallel querying to improve the processing efficiency further. In order to improve the efficiency, transfers XPath query pattern into a series of ordered subquery which its result are valid and has easier logic.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Hongliang Xie
AU  - Husheng Liao
AU  - Hongyu Gao
PY  - 2017/06
DA  - 2017/06
TI  - Research on Parallel Query of XML Stream Data Based on Pushdown Transducers
BT  - Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
PB  - Atlantis Press
SP  - 433
EP  - 437
SN  - 1951-6851
UR  - https://doi.org/10.2991/caai-17.2017.98
DO  - 10.2991/caai-17.2017.98
ID  - Xie2017/06
ER  -