Advanced Partitioning Techniques for Massively Distributed Computation

Summary: Advanced partitioning strategies for massively distributed computation, reducing shuffling bottlenecks. Integrated in Microsoft Scope, these strategies optimize repartitioning operator placement, yielding notable real-world performance gains. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 4570
Venue: SIGMOD
Year: 2012
Pagerank: 7.3909785e-05
Overall Rank: 3,466 | 76.23%
DOI: 10.1145/2213836.2213839

Incoming Non-self Citations Over Time

Authors

1. Jingren Zhou (Microsoft)
2. Nicolas Bruno (Microsoft)
3. Wei Lin (Microsoft)

BibTeX Citation

@inproceedings{zhou_sigmod12,
        title = {{Advanced Partitioning Techniques for Massively Distributed Computation}},
        author = {Zhou, Jingren and Bruno, Nicolas and Lin, Wei},
        series = {{SIGMOD} '12},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2213836.2213839},
        url = {https://dl.acm.org/doi/10.1145/2213836.2213839},
        year = {2012}
}

Incoming Citations (Sorted by Pagerank)

Showing 13 of 13 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
1,044	Fine-grained Partitioning for Aggressive Data Skipping	2014	SIGMOD	0.0001244236
1,135	Qd-tree: Learning Data Layouts for Big Data Analytics	2020	SIGMOD	0.00012032847
3,106	Skipping-oriented Partitioning for Columnar Layouts	2017	VLDB	7.7515666e-05
6,121	The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward	2021	VLDB	5.9688569e-05
6,848	Jigsaw: A Data Storage and Query Processing Engine for Irregular Table Partitioning	2021	SIGMOD	5.7550624e-05
6,896	Wide Table Layout Optimization based on Column Ordering and Duplication	2017	SIGMOD	5.7440611e-05
6,946	KEA: Tuning an Exabyte-Scale Data Infrastructure	2021	SIGMOD	5.7309848e-05
7,311	Lachesis: Automatic Partitioning for UDF-Centric Analytics	2021	VLDB	5.6491618e-05
7,762	Runtime Variation in Big Data Analytics	2023	SIGMOD	5.5501898e-05
8,001	Pangea: Monolithic Distributed Storage for Data Analytics	2019	VLDB	5.508791e-05
9,478	Parallel Query Processing: To Separate Communication from Computation	2022	SIGMOD	5.2634238e-05
11,365	Distributed Consistency Beyond Queries	2023	PODS	5.093636e-05
12,174	Anti-Combining for MapReduce	2014	SIGMOD	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
1	Access Path Selection in a Relational Database Management System	1979	SIGMOD	0.0024089429
6	Pig Latin: A Not-So-Foreign Language for Data Processing	2008	SIGMOD	0.0010686205
30	SCOPE: Easy and Efficient Parallel Processing of Massive Data Sets	2008	VLDB	0.00051174276
51	Dremel: Interactive Analysis of Web-Scale Datasets	2010	VLDB	0.0004291425
98	Encapsulation of Parallelism in the Volcano Query Processing System	1990	SIGMOD	0.00034510605
744	Fundamental Techniques for Order Optimization	1996	SIGMOD	0.00014411295
872	Tenzing: A SQL Implementation On The MapReduce Framework	2011	VLDB	0.00013486409
1,021	Jaql: A Scripting Language for Large Scale Semistructured Data Analysis	2011	VLDB	0.00012606673
3,538	A Combined Framework for Grouping and Order Optimization	2004	VLDB	7.3287689e-05
4,347	Avoiding Sorting and Grouping In Processing Queries	2003	VLDB	6.7509984e-05

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3	471	Skew-Aware Automatic Database Partitioning in Shared-Nothing, Parallel OLTP Systems	2012	SIGMOD
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7	1,852	Automated Partitioning Design in Parallel Database Systems	2011	SIGMOD
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9	3,964	Hyper Dimension Shuffle: Efficient Data Repartition at Petabyte Scale in SCOPE	2019	VLDB
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