OMCAT: Optimal maintenance of continuous queries' answers for trajectories

Hui Ding*, Goce Trajcevski, Peter I Scheuermann

*Corresponding author for this work

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

8 Scopus citations

Abstract

We present our prototype system, OMCAT, which optimizes the reevaluation of a set of pending continuous spatio-temporal queries on trajectory data, when some of the trajectories are affected by traffic abnormalities reported. The key observation that motivates OMCAT is that an abnormality in a given geographical region may cause changes to the answers of queries pertaining to future portions of affected trajectories. We investigate the sources of context-switching costs at various levels and propose solutions that utilize the correlation of several context dimensions to orchestrate the reevaluation of the queries. OMCAT, fully implemented on top of an existing Object Relational Database Management System - Oracle 9i, demonstrates that our techniques can substantially reduce the response time during query answer update.

Original languageEnglish (US)
Title of host publicationSIGMOD 2006 - Proceedings of the ACM SIGMOD International Conference on Management of Data
Pages748-750
Number of pages3
DOIs
StatePublished - Dec 1 2006
Event2006 ACM SIGMOD International Conference on Management of Data - Chicago, IL, United States
Duration: Jun 27 2006Jun 29 2006

Other

Other2006 ACM SIGMOD International Conference on Management of Data
CountryUnited States
CityChicago, IL
Period6/27/066/29/06

Keywords

  • Continuous queries
  • Moving objects databases
  • Triggers

ASJC Scopus subject areas

  • Software
  • Information Systems

Fingerprint Dive into the research topics of 'OMCAT: Optimal maintenance of continuous queries' answers for trajectories'. Together they form a unique fingerprint.

Cite this