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: h30ab11a0c879d98a
Venue: SIGMOD
Year: 2010
Pagerank: 5.2237283e-05
Overall Rank: 9,127 | 38.64%
DOI: 10.1145/1807167.1807221

Incoming Non-self Citations Over Time

Authors

1. John Cieslewicz (Columbia University)
2. Kenneth A. Ross (Columbia University)
3. Kyoho Satsumi (Columbia University)
4. Yang Ye (Columbia University)

BibTeX Citation

@inproceedings{cieslewicz_sigmod10,
        title = {{Automatic Contention Detection and Amelioration for Data-Intensive Operations}},
        author = {Cieslewicz, John and Ross, Kenneth A. and Satsumi, Kyoho and Ye, Yang},
        series = {{SIGMOD} '10},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1807167.1807221},
        url = {https://dl.acm.org/doi/10.1145/1807167.1807221},
        year = {2010}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
627	Rethinking SIMD Vectorization for In-Memory Databases	2015	SIGMOD	0.00015460957
6,840	Towards Unified Ad-hoc Data Processing	2014	SIGMOD	5.6669233e-05
10,601	TQEx: Tensor-based Query Engine Enhanced by Bridging the Gap	2026	SIGMOD	4.9793485e-05

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.

Rank	Cited Paper	Year	Venue	Pagerank
27	Database Architecture Optimized for the New Bottleneck: Memory Access	1999	VLDB	0.0005158963
106	Quickly Generating Billion-Record Synthetic Databases	1994	SIGMOD	0.00033526937
110	DBMSs On A Modern Processor: Where Does Time Go?	1999	VLDB	0.00032700879
626	Adaptive Aggregation on Chip Multiprocessors	2007	VLDB	0.00015473276
705	Main-Memory Scan Sharing For Multi-Core CPUs	2008	VLDB	0.00014657491
2,699	Database Servers on Chip Multiprocessors: Limitations and Opportunities	2007	CIDR	8.1195744e-05
4,871	Improving Database Performance on Simultaneous Multithreading Processors	2005	VLDB	6.3737342e-05

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