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MOIST: A Scalable and Parallel Moving Object Indexer with School Tracking

Summary: MOIST is a scalable, parallel moving-object indexer on BigTable with school-based trajectory clustering. It stores only school-leader histories; in-memory history and locality-preserving disk flushing reduce update/query contention and enable fast nearest-neighbor and history queries. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10421
Venue
VLDB
Year
2012
Pagerank
4.1945683e-05
Overall Rank
12,138 | 15.56%
DOI
-

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