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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
4572
Venue
SIGMOD
Year
2012
Pagerank
5.865078e-05
Overall Rank
6,488 | 55.49%
DOI
10.1145/2213836.2213842

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{sidlauskas_sigmod12,
        title = {{Parallel Main-Memory Indexing for Moving-Object Query and Update Workloads}},
        author = {Šidlauskas, Darius and Šaltenis, Simonas and Jensen, Christian S.},
        series = {{SIGMOD} '12},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2213836.2213842},
        url = {https://dl.acm.org/doi/10.1145/2213836.2213842},
        year = {2012}
}

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