LUGrid: Update-tolerant grid-based indexing for moving objects

Xiaopeng Xiong, Mohamed F. Mokbel, Walid G. Aref

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

44 Scopus citations

Abstract

Indexing moving objects is a fundamental issue in spatio-temporal databases. In this paper, we propose an adaptive Lazy-Update Grid-based index (LUGrid, for short) that minimizes the cost of object updates. LUGrid is designed with two important features, namely, lazy insertion and lazy deletion. Lazy insertion reduces the update I/Os by adding an additional memory-resident layer over the disk index. Lazy deletion reduces update cost by avoiding deleting single obsolete entry immediately. Instead, the obsolete entries are removed later by specially designed mechanisms. LUGrid adapts to object distributions through cell splitting and merging. Theoretical analysis and experimental results indicate that LUGrid outperforms former work by up to eight times when processing intensive updates, while yielding similar search performance.

Original languageEnglish (US)
Title of host publication7th International Conference on Mobile Data Management, 2006. MDM 2006
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages13
Number of pages1
ISBN (Print)0769525261, 9780769525266
DOIs
StatePublished - 2006
Event7th International Conference on Mobile Data Management, 2006. MDM 2006 - Nara, Japan
Duration: May 10 2006May 12 2006

Publication series

NameProceedings - IEEE International Conference on Mobile Data Management
Volume2006
ISSN (Print)1551-6245

Other

Other7th International Conference on Mobile Data Management, 2006. MDM 2006
CountryJapan
CityNara
Period5/10/065/12/06

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