Database Paper Browser

Back to papers

SkewTune in Action: Mitigating Skew in MapReduce Applications

Summary: SkewTune automatically mitigates data skew in MapReduce jobs, as a drop-in Hadoop replacement. Demonstration shows runtime skew mitigation on real cloud workloads and an interactive GUI detailing skew handling across real and synthetic skew. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10439
Venue
VLDB
Year
2012
Pagerank
4.1945683e-05
Overall Rank
12,140 | 15.55%
DOI
-

Incoming Non-self Citations Over Time

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

Authors

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
1,334 SkewTune: Mitigating Skew in MapReduce Applications 2012 SIGMOD 0.0001250413
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

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

Rank Cited Paper Year Venue Pagerank
413 HaLoop: Efficient Iterative Data Processing on Large Clusters 2010 VLDB 0.00023904409
1,334 SkewTune: Mitigating Skew in MapReduce Applications 2012 SIGMOD 0.0001250413
2,208 Clustera: An Integrated Computation And Data Management System 2008 VLDB 9.2873257e-05
Previous Page 1 / 1 Next

Semantically Similar Papers