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Optimization for iterative queries on MapReduce

Summary: OptIQ optimizes iterative MapReduce queries by partitioning into invariant and variant views and materializing the invariant part. It reuses the invariant and incrementally evaluates the variant view, skipping converged tuples for up to 5x speedups on PageRank and k-means. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10902
Venue
VLDB
Year
2014
Pagerank
4.773119e-05
Overall Rank
7,294 | 49.26%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
3,129 Scalable Big Graph Processing in MapReduce 2014 SIGMOD 7.5008242e-05
4,696 Asynchronous and Fault-Tolerant Recursive Datalog Evaluation in Shared-Nothing Engines 2015 VLDB 5.9911301e-05
6,245 Iterative Query Processing based on Unified Optimization Techniques 2019 SIGMOD 5.1391202e-05
10,404 Dynamic Pruning for Recursive Joins 2025 SIGMOD 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

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

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