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Querying streaming point clusters as regions

Published: 02 November 2010 Publication History

Abstract

This paper focuses on one important type of geo-streaming data - point geo-streams. Many interesting applications require selected discrete points with similar observations to be clustered according to spatial proximity and further elevated into higher-level spatial regions. Querying streaming point clusters as regions directly in a geo-stream database has many benefits, but is also very challenging. We propose two query optimization strategies, namely semantics-based optimization and incremental optimization for answering queries involving both point geo-streams and static data set. The experimental results on a streaming meteorological data set demonstrate the effectiveness and the efficiency of the query processing techniques. Compared with the baseline methods, our optimization methods can reduce the total execution time by more than an order of magnitude.

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cover image ACM Conferences
IWGS '10: Proceedings of the ACM SIGSPATIAL International Workshop on GeoStreaming
November 2010
67 pages
ISBN:9781450304313
DOI:10.1145/1878500
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 02 November 2010

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Author Tags

  1. geo-stream
  2. query optimization
  3. spatial clustering

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Overall Acceptance Rate 7 of 9 submissions, 78%

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