Querying streaming XML big data with multiple filters on cloud

Chi Yang*, Chang Liu, Xuyun Zhang, Surya Nepal, Jinjun Chen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

Nowadays, we enter a new era of data explosion which introduces the new problems for big data processing. Current methods for querying streaming XML big data are mostly based on events filtering techniques. It is well known that during the filtering, some data items have to be buffered before the filter can make the proper decision for adopting strategies to deal with them. Furthermore, for a single filter system, the buffer size often increases exponentially in the real application. Cloud is an ideal platform for big XML data processing with its massive storage and powerful computation capability. In this paper, we propose a new multi-filters strategy for querying streaming XML big data on Cloud. We show that the proposed multi-filters strategy can effectively share and reduce the filtering space and time consumption by fully exploit the scalability of Cloud. Furthermore, by deploying our multi-filters collaboration technique, the querying systems together can break the limitation of the theoretic concurrency lower bound. The empirical study shown in this paper demonstrates that our multi-filters strategy outperforms the single filter querying significantly.

Original languageEnglish
Title of host publication2013 IEEE 16th International Conference on Computational Science and Engineering (CSE 2013)
EditorsJinjun Chen, Alfredo Cuzzocrea, Laurence T. Yang
Place of PublicationLos Alamitos
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1121-1127
Number of pages7
ISBN (Electronic)9780768550961
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 16th IEEE International Conference on Computational Science and Engineering, CSE 2013 - Sydney, NSW, Australia
Duration: 3 Dec 20135 Dec 2013

Publication series

NameIEEE International Conference on Computational Science and Engineering
PublisherIEEE
ISSN (Print)1949-0828

Other

Other2013 16th IEEE International Conference on Computational Science and Engineering, CSE 2013
CountryAustralia
CitySydney, NSW
Period3/12/135/12/13

Keywords

  • Big data
  • Cloud Computing
  • data stream
  • XML data
  • data filtering

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