DBScholar

Back to papers

Operation-Aware Hybrid Locking for Modern In-Memory Indexes

Summary: OPAL is an operation-aware hybrid lock for in-memory indexes, selecting version locking, update batching, or MCS locking per operation. Across B+ Trees and ART, it avoids lookup atomic costs and update data movement, delivering up to 2.43× throughput and 80% lower latency. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
14507
Venue
VLDB
Year
2026
Pagerank
5.093636e-05
Overall Rank
10,568 | 27.50%
DOI
10.14778/3811243.3811253

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@article{gupta_vldb26,
        title = {{Operation-Aware Hybrid Locking for Modern In-Memory Indexes}},
        author = {Gupta, Vishal and Lopez, Martin Sanchez and Laforet, Victor and Lozi, Jean-Pierre and Kashyap, Sanidhya},
        journal = {PVLDB},
        series = {{VLDB} '26},
        volume = {19},
        number = {8},
        pages = {1804--1817},
        doi = {10.14778/3811243.3811253},
        url = {https://doi.org/10.14778/3811243.3811253},
        year = {2026}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank Citing Paper Year Venue Pagerank
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 14 of 14 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