M-COPE: A multiple continuous query processing engine

Hong Kyu Park, Se Jung Shin, Sang Hyuck Na, Won Suk Lee

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

1 Citation (Scopus)

Abstract

A data stream management system (DSMS) should support an efficient evaluation scheme for long-running continuous queries over infinite data streams. This demonstration presents a scalable query processing engine, M-COPE (Multiple Continuous Query Processing Engine) developed to evaluate multiple continuous queries efficiently. A multiple query optimization scheme implemented in the system generates a single network of operations as an execution plan for registered queries in order to maximize the reuse of the intermediate results of common sub-expressions in the queries adaptively. In this paper, we describe the overall architecture of M-COPE along with its special features. Network traffic flow streams are used to demonstrate the main features of M-COPE.

Original languageEnglish
Title of host publicationACM 18th International Conference on Information and Knowledge Management, CIKM 2009
Pages2065-2066
Number of pages2
DOIs
Publication statusPublished - 2009 Dec 1
EventACM 18th International Conference on Information and Knowledge Management, CIKM 2009 - Hong Kong, China
Duration: 2009 Nov 22009 Nov 6

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings

Other

OtherACM 18th International Conference on Information and Knowledge Management, CIKM 2009
CountryChina
CityHong Kong
Period09/11/209/11/6

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All Science Journal Classification (ASJC) codes

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

Cite this

Park, H. K., Shin, S. J., Na, S. H., & Lee, W. S. (2009). M-COPE: A multiple continuous query processing engine. In ACM 18th International Conference on Information and Knowledge Management, CIKM 2009 (pp. 2065-2066). (International Conference on Information and Knowledge Management, Proceedings). https://doi.org/10.1145/1645953.1646303