Research on Parallel Query of XML Stream Data Based on Pushdown Transducers
Hong-Liang Xie, Husheng Liao, Hongyu Gao · 2017
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.