Database Paper Browser

Back to papers

Automatic Contention Detection and Amelioration for Data-Intensive Operations

Summary: Generic framework for parallel data-intensive DB operations with automatic contention detection. UDA/MapReduce-like patterns; provides multi-threaded shared-data infrastructure alleviating hotspots, enabling parallelization without deep concurrency expertise. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4268
Venue
SIGMOD
Year
2010
Pagerank
4.4344518e-05
Overall Rank
8,858 | 38.38%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
958 Rethinking SIMD Vectorization for In-Memory Databases 2015 SIGMOD 0.00015045316
6,483 Towards Unified Ad-hoc Data Processing 2014 SIGMOD 5.0456397e-05
10,121 TQEx: Tensor-based Query Engine Enhanced by Bridging the Gap 2026 SIGMOD 4.1945683e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 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