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Partition-based lazy updates for continuous queries over moving objects
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Source Geographic Information Systems archive
Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems table of contents
Seattle, Washington
SESSION: Spatiotemporal databases and moving objects table of contents
Article No. 37  
Year of Publication: 2007
ISBN:978-1-59593-914-2
Authors
Yu-Ling Hsueh  University of Southern California, Los Angeles, CA
Roger Zimmermann  National University of Singapore, Singapore
Haojun Wang  University of Southern California, Los Angeles, CA
Wei-Shinn Ku  Auburn University, Auburn, AL
Sponsors
: Oak Ridge National Laboratory
: Google
: ESRI
Microsoft : Microsoft
Publisher
ACM  New York, NY, USA
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ABSTRACT

Continuous spatial queries posted within an environment of moving objects produce as their results a time-varying set of objects. In the most ambitious case both queries and data objects are dynamic, making it very challenging to find an efficient query evaluation strategy. The significant overhead related to frequent location updates from moving objects often results in poor performance. The most advanced existing techniques use the concept of simple geometric safe regions to delay or avoid location updates. We introduce a Partition-based Lazy Update (PLU) algorithm that elevates this idea further by adopting Location Information Tables (LIT) which (a) allow each moving object to estimate possible query movements and issue a location update only when it may affect any query results and (b) enable smart server probing that results in fewer messages. Among the significant advantages, our technique performs well even in very highly dynamic environments (with up to 100% mobility) where many other techniques deteriorate. PLU can be efficiently implemented and we demonstrate its query performance improvement of up to 28% over the current state-of-the-art.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Bugra Gedik and Ling Liu. MobiEyes: Distributed Processing of Continuously Moving Queries on Moving Objects in a Mobile System. In EDBT, 2004.
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Collaborative Colleagues:
Yu-Ling Hsueh: colleagues
Roger Zimmermann: colleagues
Haojun Wang: colleagues
Wei-Shinn Ku: colleagues