A continuous query evaluation scheme for a detection-only query over data streams

Hong Kyu Park, Won Suk Lee

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

Abstract

In a data stream environment, a multi-way join continuous query is employed to monitor a considerable number of source data streams from various remote sites in real-time. One key role of a continuous query is detecting only the invocation of a particular event corresponding to the specifications of the query. The evaluation of such a detection-only query does not require to produce either an intermediate tuple or a final result tuple, which not only shortens the processing time of a query but also reduces the usage of memory space. However, there has been no special effort to deal with a query of this type. This paper proposes a new evaluation framework which efficiently processes a multi-way detection-only query without generating any intermediate result tuple explicitly.

Original languageEnglish
Title of host publicationCIKM'11 - Proceedings of the 2011 ACM International Conference on Information and Knowledge Management
Pages2405-2408
Number of pages4
DOIs
Publication statusPublished - 2011
Event20th ACM Conference on Information and Knowledge Management, CIKM'11 - Glasgow, United Kingdom
Duration: 2011 Oct 242011 Oct 28

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings

Other

Other20th ACM Conference on Information and Knowledge Management, CIKM'11
CountryUnited Kingdom
CityGlasgow
Period11/10/2411/10/28

All Science Journal Classification (ASJC) codes

  • Decision Sciences(all)
  • Business, Management and Accounting(all)

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  • Cite this

    Park, H. K., & Lee, W. S. (2011). A continuous query evaluation scheme for a detection-only query over data streams. In CIKM'11 - Proceedings of the 2011 ACM International Conference on Information and Knowledge Management (pp. 2405-2408). (International Conference on Information and Knowledge Management, Proceedings). https://doi.org/10.1145/2063576.2063978