HaLoop: Efficient Iterative Data Processing on Large Clusters
Summary: HaLoop, a modified Hadoop MapReduce, adds loop-aware scheduling and caching to support iterative data mining workloads. By reusing state across iterations, it achieves 1.85x faster runtimes and shuffles only 4% of data between map and reduce. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yingyi Bu (University of California Irvine; University of Washington)
- 2. Bill Howe (University of Washington)
- 3. Magdalena Balazinska (University of Washington)
- 4. Michael D. Ernst (University of Washington)
BibTeX Citation
@article{bu_vldb10,
title = {{HaLoop: Efficient Iterative Data Processing on Large Clusters}},
author = {Bu, Yingyi and Howe, Bill and Balazinska, Magdalena and Ernst, Michael D.},
journal = {PVLDB},
series = {{VLDB} '10},
volume = {3},
number = {1},
pages = {285--296},
doi = {10.14778/1920841.1920881},
url = {https://doi.org/10.14778/1920841.1920881},
year = {2010}
}
Incoming Citations (Sorted by Pagerank)
Showing 39 of 39 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3 | Pregel: A System for Large-Scale Graph Processing | 2010 | SIGMOD | 0.0012250108 |
| 6 | Pig Latin: A Not-So-Foreign Language for Data Processing | 2008 | SIGMOD | 0.0010686205 |
| 44 | A Comparison of Approaches to Large-Scale Data Analysis | 2009 | SIGMOD | 0.00046055057 |
| 63 | An Amateur's Introduction to Recursive Query Processing Strategies | 1986 | SIGMOD | 0.00038782376 |
| 120 | HadoopDB: An Architectural Hybrid of MapReduce and DBMS Technologies for Analytical Workloads | 2009 | VLDB | 0.00031680027 |
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