Database Paper Browser

Back to papers

Parallel Main-Memory Indexing for Moving-Object Query and Update Workloads

Summary: PGrid—an in-memory grid index for moving objects—exploits multi-core parallelism to handle high-rate workloads. Updates and queries share a single data structure, avoiding snapshots; hardware-assisted atomic updates with object-level copying implement non-divisible updates, delivering fresh results and near-linear scalability. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4510
Venue
SIGMOD
Year
2012
Pagerank
5.0235647e-05
Overall Rank
6,537 | 54.53%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers